Modification of viewing parameters for digital images using face detection information

• US 8,948,468 B2
• Filed: 06/26/2003
• Issued: 02/03/2015
• Est. Priority Date: 06/26/2003
• Status: Active Grant

• Current Assignee: FotoNation Limited (Adeia Inc.)
• Original Assignee: FotoNation Limited (Adeia Inc.)
• Inventors: Steinberg, Eran, Corcoran, Peter
• Primary Examiner(s): DULANEY, KATHLEEN YUAN
• Application Number:
  US10/608,784
• Publication Number:
  US 20060204034A1
• Time in Patent Office: 4,240 Days
• Field of Search: 382/103, 382/118, 382/254, 382/167, 382/274, 382/156, 345/473, 345/619
• US Class Current: 382/118
• CPC Class Codes: G06T 2207/30201 Face
• CPC Class Codes: G06T 7/73 using feature-based methods
• CPC Class Codes: H04N 23/61 based on recognised objects
• CPC Class Codes: H04N 23/611 where the recognised objects include parts of the human body
• CPC Class Codes: H04N 23/67 Focus control based on electronic image sensor signals
• CPC Class Codes: H04N 23/74 by influencing the scene brightness using illuminating means

Abstract

A method of modifying the viewing parameters of digital images using face detection for achieving a desired spatial parameters based on one or more sub-groups of pixels that correspond to one or more facial features of the face. Such methods may be used for animating still images, automating and streamlining application such as the creation of slide shows and screen savers of images containing faces.

Claims

1. A method of generating on a processor-based digital image acquisition device one or more new digital still images using an original digitally-acquired still image including a face, comprising:

using a processor of the device in performing the following;

acquiring the original digitally-acquired still image on the processor-based digital image acquisition device that includes a lens and image sensor for capturing digital images;

analyzing a luminance map of the digitally-acquired still image, including comparing the luminance map with patterns of luminance data that match face images;

based on the analyzing of the luminance map, identifying one or more groups of pixels that correspond to a face within a foreground region of the original digitally-acquired still image which has a certain resolution, wherein the identifying comprises one or more of sub-sampling and weighted sampling of the resolution of the image, including reducing a resolution of at least one or more portions of the image on which computations are performed and wherein the identifying further comprises detecting the face in real time or near real time,

calculating a degree to which exposure of the face in the foreground within said image differs from a desired exposure of said face within said image, including determining that said face lacks the desired exposure as being shadowed or shot with back light or otherwise insufficiently illuminated during acquisition;

based on the identifying of the one or more groups of pixels that correspond to said face and on the degree as a result of the calculating, selecting a portion of the original still image for processing to include the one or more groups of pixels; and

automatically generating values of pixels of one or more new still images based on the selected portion in a manner which always includes the face within the one or more new still images which differ from the original digitally-acquired still image by including at least one group of pixels modified at least in luminance of the face including applying a digital fill flash to add light and to boost the luminance of the face in the foreground, as compared with the one or more groups of pixels identified in the foreground of the original digitally-acquired still image.

2. A method as recited in claim 1, further comprising:

gradually displaying a transformation between said original digitally-acquired image and one or more new images.

3. A method as recited in claim 2, further comprising:

adjusting parameters of said transformation between said original digitally-acquired image and one or more new images.

4. A method as recited in claim 3, wherein said parameters of said transformation between said original digitally-acquired image and one or more new images being selected from a set of at least one or more criteria including timing or blending or a combination thereof.

5. A method as recited in claim 4, wherein said blending including dissolving, flying, swirling, appearing, flashing, or screening, or combinations thereof.

6. The method of claim 5, wherein the selected portion further comprises a zoom region, and a new image comprising a zoomed image includes the face enlarged by the zooming.

7. The method of claim 6, further comprising:

determining a point of rotation and an amount of rotation after which another image is automatically generated including a rotated version of the face.

8. The method of claim 6, further comprising:

determining one or more further new images each including a new group of pixels corresponding to the face; and

automatically panning using the one or more further new images.

9. The method of claim 8, wherein each of the one or more further new images including pixels corresponding to features different from at least one other image of the one or more further new images.

10. The method of claim 8, further comprising:

determining a point of rotation and an amount of rotation after which another image is automatically generated including a rotated version of the face.

11. The method of claim 6, further comprising:

determining a point of rotation and an amount of rotation such that the generating of the values of the pixels automatically generates a new image including a rotated version of the face by rotating the image about said point of rotation by said amount of rotation.

12. The method of claim 11, further comprising:

determining one or more further new images each including a new group of pixels corresponding to the face; and

automatically panning using the one or more further new images.

13. The method of claim 12, wherein each of the one or more further new images including pixels corresponding to features different from at least one other image of the one or more further new images.

14. The method of claim 6, wherein the generating of the values generating one or more new images each including a new group of pixels corresponding to the face, and further comprising:

generating a panning sequence comprising a sequence of at least two of the original image and the one or more new images.

15. The method of claim 14, wherein each of the one or more new images including pixels corresponding to features different from at least one other image of the one or more new images.

16. The method of claim 1, wherein the one or more new still images comprise a plurality of new still images.

17. A method of providing an option for generating on a processor-based digital image acquisition device one or more new digital still images using an original digitally-acquired still image including a face, comprising:

using a processor of the device in performing the following;

acquiring the original digitally-acquired still image on the processor-based digital image acquisition device that includes a lens and image sensor for capturing digital images;

analyzing a luminance map of the digitally-acquired still image, including comparing the luminance map with patterns of luminance data that match face images;

based on the analyzing of the luminance map, identifying one or more groups of pixels that correspond to a face within a foreground region of the original digitally-acquired still image which has a certain resolution, wherein the identifying comprises one or more of sub-sampling and weighted sampling of the resolution of the image, including reducing a resolution of at least one or more portions of the image on which computations are performed, and wherein the identifying further comprises detecting the face in real time or near real time,

calculating a degree to which exposure of the face in the foreground region differs from a desired exposure of said face within said image, including determining that said face lacks the desired exposure as being shadowed or shot with back light or otherwise insufficiently illuminated during acquisition;

based on the identifying of the one or more groups of pixels that correspond to said face and on the degree as a result of the calculating, selecting a portion of the original still image for processing to include the one or more groups of pixels; and

automatically providing an option for generating values of pixels of one or more new still images based on the selected portion in a manner which always includes the face within the one or more new still images which differ from the original digitally-acquired still image by including at least one group of pixels modified at least in luminance of the face, including applying a digital fill flash to add light and to boost the luminance of the face in the foreground as compared with the one or more groups of pixels identified in the foreground of the original digitally-acquired still image.

18. The method of claim 17, wherein the selected portion further comprises a zoom region, and a suggested new image comprising a zoomed image includes the face enlarged by the zooming.

19. The method of claim 18, further comprising:

determining a point of rotation and an amount of rotation after which another suggested image includes a rotated version of the face.

20. The method of claim 18, further comprising:

determining one or more further suggested new images each including a new group of pixels corresponding to the face; and

automatically providing an option for generating a panning sequence using at least two of the original image and the one or more further suggested new images.

21. The method of claim 20, wherein each of the one or more further suggested new images including pixels corresponding to features different from at least one other image of the one or more further suggested new images.

22. The method of claim 20, further comprising:

determining a point of rotation and an amount of rotation after which another suggested image includes a rotated version of the face.

23. The method of claim 17, further comprising:

determining a point of rotation and an amount of rotation such that the generating of the values of the pixels includes automatically providing an option to generate a new image including a rotated version of the face by rotating the image about said point of rotation by said amount of rotation.

24. The method of claim 23, further comprising:

determining one or more further suggested new images each including a new group of pixels corresponding to the face; and

automatically providing an option for generating a panning sequence using at least two of the original image and the one or more further suggested new images.

25. The method of claim 24, wherein each of the one or more further suggested new images including pixels corresponding to features different from at least one other image of the one or more further suggested new images.

26. The method of claim 17, wherein the generating of the values for generating one or more new images each including a new group of pixels corresponding to the face, and further comprising:

automatically providing an option for generating a panning sequence comprising a sequence of at least two of the original image and the one or more new images.

27. The method of claim 26, wherein each of the one or more new images including pixels corresponding to features different from at least one other image of the one or more new images.

28. The method of claim 17, wherein the one or more new still images comprise a plurality of new still images.

29. One or more non-transitory computer readable media encoded with a computer program for programming one or more processors to perform a method of generating one or more new digital still images using an original digitally-acquired still image including a face, the method comprising:

analyzing a luminance map of the digitally-acquired still image captured with a lens and image sensor of a digital image acquisition device, including comparing the luminance map with patterns of luminance data that match face images;

based on the analyzing of the luminance map, identifying one or more groups of pixels that correspond to a face within a foreground region of the original digitally-acquired still image which has a certain resolution, wherein the identifying comprises one or more of sub-sampling and weighted sampling of the resolution of the image, including reducing a resolution of at least one or more portions of the image on which computations are performed and wherein the identifying further comprises detecting the face in real time or near real time,

calculating a degree to which exposure of the face within the foreground region from a desired exposure of said face within said image, including determining that said face lacks the desired exposure as being shadowed or shot with back light or otherwise insufficiently illuminated during acquisition;

based on the identifying of the one or more groups of pixels that correspond to said face and on the degree as a result of the calculating, selecting a portion of the original still image for processing to include the one or more groups of pixels; and

automatically generating values of pixels of one or more new still images based on the selected portion in a manner which always includes the face within the one or more new still images which differ from the original digitally-acquired still image by including at least one group of pixels modified at least in luminance of the face, including applying a digital fill flash to add light and to boost the luminance of the face in the foreground as compared with the one or more groups of pixels identified in the foreground of the original digitally-acquired still image.

30. The one or more non-transitory computer readable media as recited in claim 29, the method further comprising:

gradually displaying a transformation between said original digitally-acquired image and one or more new images.

31. The one or more non-transitory computer readable media as recited in claim 30, the method further comprising:

adjusting parameters of said transformation between said original digitally-acquired image and one or more new images.

32. The one or more non-transitory computer readable media as recited in claim 31, wherein said parameters of said transformation between said original digitally-acquired image and one or more new images being selected from a set of at least one or more criteria including timing or blending or a combination thereof.

33. The one or more non-transitory computer readable media as recited in claim 32, wherein said blending including dissolving, flying, swirling, appearing, flashing, or screening, or combinations thereof.

34. The one or more non-transitory computer readable media of claim 33, wherein the selected portion further comprises a zoom region, and a new image comprising a zoomed image includes the face enlarged by the zooming.

35. The one or more non-transitory computer readable media of claim 34, the method further comprising:

determining a point of rotation and an amount of rotation after which another image is automatically generated including a rotated version of the face.

36. The one or more computer readable media of claim 34, the method further comprising:

determining one or more further new images each including a new group of pixels corresponding to the face; and

automatically panning using the one or more further new images.

37. The one or more non-transitory computer readable media of claim 36, wherein each of the one or more further new images including pixels corresponding to features different from at least one other image of the one or more further new images.

38. The one or more non-transitory computer readable media of claim 36, the method further comprising:

determining a point of rotation and an amount of rotation after which another image is automatically generated including a rotated version of the face.

39. The one or more non-transitory computer readable media of claim 34, the method further comprising:

determining a point of rotation and an amount of rotation such that the generating of the values of the pixels automatically generates a new image including a rotated version of the face by rotating the image about said point of rotation by said amount of rotation.

40. The one or more non-transitory computer readable media of claim 39, the method further comprising:

determining one or more further new images each including a new group of pixels corresponding to the face; and

automatically panning using the one or more further new images.

41. The one or more non-transitory computer readable media of claim 40, wherein each of the one or more further new images including pixels corresponding to features different from at least one other image of the one or more further new images.

42. The one or more non-transitory computer readable media of claim 34, wherein the generating of the values generating one or more new images each including a new group of pixels corresponding to the face, and the method further comprising:

generating a panning sequence comprising a sequence of at least two of the original image and the one or more new images.

43. The one or more non-transitory computer readable media of claim 42, wherein each of the one or more new images including pixels corresponding to features different from at least one other image of the one or more new images.

44. The one or more non-transitory computer readable media of claim 29, wherein the one or more new still images comprise a plurality of new still images.

45. One or more non-transitory computer readable media encoded with a computer program for programming one or more processors to perform a method of providing an option for generating one or more new digital still images using an original digitally-acquired still image including a face, the method comprising:

analyzing a luminance map of the digitally-acquired still image captured with a lens and image sensor of a digital image acquisition device, including comparing the luminance map with patterns of luminance data that match face images;

based on the analyzing of the luminance map, identifying one or more groups of pixels that correspond to a face within a foreground region of the original digitally-acquired still image which has a certain resolution, wherein the identifying comprises one or more of sub-sampling and weighted sampling of the resolution of the image, including reducing a resolution of at least one or more portions of the image on which computations are performed and wherein the identifying further comprises detecting the face in real time or near real time,

calculating a degree to which exposure of the face within said image differs from a desired exposure of said face within said image, including determining that said face lacks the desired exposure as being shadowed or shot with back light or otherwise insufficiently illuminated during acquisition;

based on the identifying of the one or more groups of pixels that correspond to said face and on the degree as a result of the calculating, selecting a portion of the original still image for processing to include the one or more groups of pixels; and

automatically providing an option for generating values of pixels of one or more new still images based on the selected portion in a manner which always includes the face within the one or more new still images which differ from the original digitally-acquired still image by including at least one group of pixels modified at least in luminance of the face, including applying a digital fill flash to add light and to boost the luminance of the face in the foreground as compared with the one or more groups of pixels identified in the foreground of the original digitally-acquired still image.

46. The one or more non-transitory computer readable media of claim 45, wherein the selected portion further comprises a zoom region, and a suggested new image comprising a zoomed image includes the face enlarged by the zooming.

47. The one or more non-transitory computer readable media of claim 46, the method further comprising:

determining a point of rotation and an amount of rotation after which another suggested image includes a rotated version of the face.

48. The one or more non-transitory computer readable media of claim 46, the method further comprising:

determining one or more further suggested new images each including a new group of pixels corresponding to the face; and

automatically providing an option for generating a panning sequence using at least two of the original image and the one or more further suggested new images.

49. The one or more non-transitory computer readable media of claim 48, wherein each of the one or more further suggested new images including pixels corresponding to features different from at least one other image of the one or more further suggested new images.

50. The one or more non-transitory computer readable media of claim 48, the method further comprising:

determining a point of rotation and an amount of rotation after which another suggested image includes a rotated version of the face.

51. The one or more non-transitory computer readable media of claim 45, the method further comprising:

determining a point of rotation and an amount of rotation such that the generating of the values of the pixels including automatically providing an option to generate a new image including a rotated version of the face by rotating the image about said point of rotation by said amount of rotation.

52. The one or more non-transitory computer readable media of claim 51, the method further comprising:

determining one or more further suggested new images each including a new group of pixels corresponding to the face; and

automatically providing an option for generating a panning sequence using at least two of the original image and the one or more further suggested new images.

53. The one or more non-transitory computer readable media of claim 52, wherein each of the one or more further suggested new images including pixels corresponding to features different from at least one other image of the one or more further suggested new images.

54. The one or more non-transitory computer readable media of claim 45, wherein the generating of the values for generating one or more new images each including a new group of pixels corresponding to the face, and the method further comprising:

automatically providing an option for generating a panning sequence comprising a sequence of at least two of the original image and the one or more new images.

55. The one or more non-transitory computer readable media of claim 54, wherein each of the one or more new images including pixels corresponding to features different from at least one other image of the one or more new images.

56. The one or more non-transitory computer readable media of claim 45, wherein the one or more new still images comprise a plurality of new still images.

57. A method of generating one or more new digital still images using an original digitally-acquired still image including a face, the method being performed on a processor-based portable digital camera that is programmed using one or more digital storage media containing program code and having image data stored thereon, and includes a lens and an image sensor for capturing the original digitally-acquired image, the method comprising:

using a processor of the device in performing the following;

acquiring the original digitally-acquired still image on the processor-based digital image acquisition device that includes a lens and image sensor for capturing digital images;

analyzing a luminance map of the digitally-acquired still image, including comparing the luminance map with patterns of luminance data that match face images;

based on the analyzing of the luminance map, identifying one or more groups of pixels that correspond to a face within a foreground region of the original digitally-acquired still image which has a certain resolution, wherein the identifying comprises one or more of sub-sampling and weighted sampling of the resolution of the image, including reducing a resolution of at least one or more portions of the image on which computations are performed and wherein the identifying further comprises detecting the face in real time or near real time,

calculating on the portable digital camera a degree to which exposure of the face within said image differs from a desired exposure of said face within said image, including determining that said face lacks the desired exposure as being shadowed or shot with back light or otherwise insufficiently illuminated during acquisition;

based on the identifying of the one or more groups of pixels that correspond to said face and on the degree as a result of the calculating, selecting a portion of the original still image for processing to include the one or more groups of pixels; and

automatically generating on the portable digital camera values of pixels of one or more new still images based on the selected portion in a manner which always includes the face within the one or more new still images which differ from the original digitally-acquired still image by including at least one group of pixels modified at least in apparent exposure of the face, including applying a digital fill flash to add light and to boost the apparent exposure of the face in the foreground as compared with the one or more groups of pixels identified in the foreground of the original digitally-acquired still image.

58. A method as recited in claim 57, further comprising:

gradually displaying a transformation between said original digitally-acquired image and one or more new images.

59. A method as recited in claim 58, further comprising:

adjusting parameters of said transformation between said original digitally-acquired image and one or more new images.

60. A method as recited in claim 59, wherein said parameters of said transformation between said original digitally-acquired image and one or more new images being selected from a set of at least one or more criteria including timing or blending or a combination thereof.

61. A method as recited in claim 60, wherein said blending including dissolving, flying, swirling, appearing, flashing, or screening, or combinations thereof.

62. The method of claim 61, further comprising:

determining a point of rotation and an amount of rotation after which another image is automatically generated including a rotated version of the face.

63. The method of claim 61, further comprising:

determining one or more further new images each including a new group of pixels corresponding to the face; and

automatically panning using the one or more further new images.

64. A method of generating one or more new digital still images using an original digitally-acquired still image including a face, the method being performed on a processor-based portable digital camera that is programmed using one or more digital storage media containing program code and having image data stored thereon, and includes a lens and an image sensor for capturing the original digitally-acquired image, the method comprising:

using a processor of the device in performing the following;

acquiring the original digitally-acquired still image on the processor-based digital image acquisition device that includes a lens and image sensor for capturing digital images;

analyzing a luminance map of the digitally-acquired still image, including comparing the luminance map with patterns of luminance data that match face images;

based on the analyzing of the luminance map, identifying one or more groups of pixels that correspond to a face within a foreground region of the original digitally-acquired still image which has a certain resolution, wherein the identifying comprises one or more of sub-sampling and weighted sampling of the resolution of the image, including reducing a resolution of at least one or more portions of the image on which computations are performed and wherein the identifying further comprises detecting the face in real time or near real time,

calculating on the portable digital camera a degree to which exposure of the face within the foreground region of said image differs from a desired exposure of said face within said image, including determining that said face lacks the desired exposure as being shadowed or shot with back light or otherwise insufficiently illuminated during acquisition;

based on the identifying of the one or more groups of pixels that correspond to said face and on the degree as a result of the calculating, selecting a portion of the original still image for processing to include the one or more groups of pixels; and

automatically providing an option for generating on the portable digital camera values of pixels of one or more new still images based on the selected portion in a manner which always includes the face within the one or more new still images which differ from the original digitally-acquired still image by including at least one group of pixels modified at least in apparent exposure of the face including applying a digital fill flash to add light and to boost the apparent exposure of the face in the foreground as compared with the one or more groups of pixels identified in the foreground region original digitally-acquired still image.

65. The method of claim 64, wherein the selected portion comprising a zoom region and a suggested new image comprising a zoomed image including the face enlarged by the zooming.

66. The method of claim 65, further comprising:

determining a point of rotation and an amount of rotation after which another suggested image includes a rotated version of the face.

67. The method of claim 65, further comprising:

determining one or more further suggested new images each including a new group of pixels corresponding to the face; and

automatically providing an option for generating a panning sequence using at least two of the original image and the one or more further suggested new images.

68. The method of claim 64, further comprising:

determining a point of rotation and an amount of rotation such that the generating of the values of the pixels includes automatically providing an option to generate a new image including a rotated version of the face by rotating the image about said point of rotation by said amount of rotation.

69. The method of claim 68, further comprising:

determining one or more further suggested new images each including a new group of pixels corresponding to the face; and

automatically providing an option for generating a panning sequence using at least two of the original image and the one or more further suggested new images.

70. The method of claim 64, wherein the generating of the values for generating one or more new images each including a new group of pixels corresponding to the face, and further comprising:

automatically providing an option for generating a panning sequence comprising a sequence of at least two of the original image and the one or more new images.

71. A portable digital camera including a processor and one or more computer readable media containing program code and for storing image data, as well as a lens and an image sensor for capturing digital images, wherein the one or more computer readable media are encoded with a computer program for programming one or more processors to perform a method of generating one or more new digital still images using an original digitally-acquired still image including a face, the method comprising using the processor of the camera in:

analyzing a luminance map of the digitally-acquired still image, including comparing the luminance map with patterns of luminance data that match face images;

based on the analyzing of the luminance map, identifying one or more groups of pixels that correspond to a face within a foreground region of the original digitally-acquired still image which has a certain resolution, wherein the identifying comprises one or more of sub-sampling and weighted sampling of the resolution of the image, including reducing a resolution of at least one or more portions of the image on which computations are performed and wherein the identifying further comprises detecting the face in real time or near real time,

calculating on the portable digital camera a degree to which exposure of the face within the foreground region of said image differs from a desired exposure of said face within said image, including determining that said face lacks the desired exposure as being shadowed or shot with back light or otherwise insufficiently illuminated during acquisition;

based on the identifying of the one or more groups of pixels that correspond to said face and on the degree as a result of the calculating, selecting a portion of the original still image for processing to include the one or more groups of pixels; and

automatically generating on the portable digital camera values of pixels of one or more new still images based on the selected portion in a manner which always includes the face within the one or more new still images which differ from the original digitally-acquired still image by including at least one group of pixels modified at least in apparent exposure of the face including applying a digital fill flash to add light and to boost the apparent exposure of the face in the foreground as compared with the one or more groups of pixels identified in the original digitally-acquired still image.

72. The portable digital camera as recited in claim 71, the method further comprising:

gradually displaying a transformation between said original digitally-acquired image and one or more new images.

73. The portable digital camera as recited in claim 72, the method further comprising:

adjusting parameters of said transformation between said original digitally-acquired image and one or more new images.

74. The portable digital camera as recited in claim 73, wherein said parameters of said transformation between said original digitally-acquired image and one or more new images being selected from a set of at least one or more criteria including timing or blending or a combination thereof.

75. The portable digital camera as recited in claim 74, wherein said blending including dissolving, flying, swirling, appearing, flashing, or screening, or combinations thereof.

76. The portable digital camera of claim 71, the method further comprising:

determining a point of rotation and an amount of rotation such that the generating of the values of the pixels automatically generates a new image including a rotated version of the face by rotating the image about said point of rotation by said amount of rotation.

77. The portable digital camera of claim 71, wherein the generating of the values generating one or more new images each including a new group of pixels corresponding to the face, and the method further comprising:

generating a panning sequence comprising a sequence of at least two of the original image and the one or more new images.

78. A portable digital camera including a processor and one or more computer readable media containing program code and for storing image data, as well as a lens and an image sensor for capturing digital images, wherein the one or more computer readable media are encoded with a computer program for programming one or more processors to perform a method of providing an option for generating one or more new digital still images using an original digitally-acquired still image including a face, the method comprising using the processor of the camera in:

analyzing a luminance map of the digitally-acquired still image, including comparing the luminance map with patterns of luminance data that match face images;

based on the analyzing of the luminance map, identifying one or more groups of pixels that correspond to a face within a foreground region of the original digitally-acquired still image which has a certain resolution, wherein the identifying comprises one or more of sub-sampling and weighted sampling of the resolution of the image, including reducing a resolution of at least one or more portions of the image on which computations are performed and wherein the identifying further comprises detecting the face in real time or near real time,

calculating on the portable digital camera a degree to which exposure of the face within the foreground region of said image differs from a desired exposure of said face within said image, or combinations thereof;

based on the identifying of the one or more groups of pixels that correspond to said face and on the degree as a result of the calculating, selecting a portion of the original still image for processing to include the one or more groups of pixels; and

automatically providing an option for generating on the portable digital camera values of pixels of one or more new still images based on the selected portion in a manner which always includes the face within the one or more new still images which differ from the original digitally-acquired still image by including at least one group of pixels modified at least in apparent exposure of the face including applying a digital fill flash to add light and to boost the apparent exposure of the face in the foreground as compared with the one or more groups of pixels identified in the original digitally-acquired still image.

79. The portable digital camera of claim 78, the method further comprising:

determining a point of rotation and an amount of rotation such that the generating of the values of the pixels includes automatically providing an option to generate a new image including a rotated version of the face by rotating the image about said point of rotation by said amount of rotation.

80. The portable digital camera of claim 79, the method further comprising:

determining one or more further suggested new images each including a new group of pixels corresponding to the face; and

automatically providing an option for generating a panning sequence using at least two of the original image and the one or more further suggested new images.

81. The portable digital camera of claim 80, wherein each of the one or more further suggested new images including pixels corresponding to features different from at least one other image of the one or more further suggested new images.

82. The portable digital camera of claim 78, wherein the generating of the values for generating one or more new images each including a new group of pixels corresponding to the face, and the method further comprising:

automatically providing an option for generating a panning sequence comprising a sequence of at least two of the original image and the one or more new images.

83. The portable digital camera of claim 82, wherein each of the one or more new images including pixels corresponding to features different from at least one other image of the one or more new images.

84. The portable digital camera of claim 78, wherein the one or more new still images comprise a plurality of new still images.