Imagery processing

• US 20070200934A1
• Filed: 02/28/2006
• Published: 08/30/2007
• Est. Priority Date: 02/28/2006
• Status: Active Grant

• Current Assignee: The Invention Science Fund I, L.L.C. (Intellectual Ventures LLC)
• Original Assignee: Searete LLC (Intellectual Ventures LLC)
• Inventors: Jung, Edward, Malamud, Mark, Lord, Robert, Levien, Royce, Rinaldo, John
• Granted Patent: US 9,076,208 B2
• Time in Patent Office: Days
• US Class Current: 348/218.100
• CPC Class Codes: G06T 7/70 Determining position or orientation of objects or cameras camera calibration G06T7/80

Abstract

In one aspect, a method related to imagery processing. In addition to the foregoing, other method and system and program product aspects are described in the claims, drawings, and text forming a part of the present application.

Claims

1. A method related to imagery processing, the method comprising:

accepting first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter; and

combining at least a portion of the first data and at least a portion of the second data.

3. The method of claim 1, wherein the accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter, further comprises:

accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter,

wherein the first bracketing parameter and/or the second bracketing parameter include an exposure setting of a sensor.

5. The method of claim 1, wherein the accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter, further comprises:

accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter,

wherein the first bracketing parameter and/or the second bracketing parameter include a focus setting of a sensor.

9. The method of claim 1, wherein the accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter, further comprises:

accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter,

wherein the first bracketing data and/or the second bracketing data include an exposure value.

11. The method of claim 1, wherein the accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter, further comprises:

accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter,

wherein the first bracketing data and/or the second bracketing data include a focus value.

16. The method of claim 1, further comprising:

deriving third data from the combining at least a portion of the first data and at least a portion of the second data.

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41. A system related to imagery processing, the system comprising:

circuitry for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter; and

circuitry for combining at least a portion of the first data and at least a portion of the second data.

42. The system of claim 41, further comprising:

circuitry for deriving third data from the combining at least a portion of the first data and at least a portion of the second data.

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45. A system related to imagery processing, the system comprising:

means for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter; and

means for combining at least a portion of the first data and at least a portion of the second data.

46. The system of claim 45, further comprising:

means for deriving third data from the combining at least a portion of the first data and at least a portion of the second data.

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49. A program product, comprising:

a signal-bearing medium bearing;

one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter; and

one or more instructions for combining at least a portion of the first data and at least a portion of the second data.

52. The program product of claim 49, wherein the one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter further comprise:

one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter, wherein the first bracketing parameter and/or the second bracketing parameter include an f-stop setting of a sensor.

54. The program product of claim 49, wherein the one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter further comprise:

one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter, wherein the first bracketing parameter and/or the second bracketing parameter include a frequency and/or a wavelength setting of a sensor.

55. The program product of claim 49, wherein the one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter further comprise:

one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter,

wherein the first bracketing parameter and/or the second bracketing parameter include a focus setting of a sensor.

56. The program product of claim 49, wherein the one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter further comprise:

one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter,

wherein the first bracketing parameter and/or the second bracketing parameter include a white balance setting of a sensor.

57. The program product of claim 49, wherein the one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter further comprise:

one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter, wherein the first bracketing parameter and/or the second bracketing parameter include a flash setting of a sensor.

58. The program product of claim 49, wherein the one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter further comprise:

one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter,

wherein the first bracketing data and/or the second bracketing data include an f-stop value.

60. The program product of claim 49, wherein the one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter further comprise:

one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter, wherein the first bracketing data and/or the second bracketing data include a frequency and/or a wavelength value.

61. The program product of claim 49, wherein the one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter further comprise:

one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter, wherein the first bracketing data and/or the second bracketing data include a focus value.

62. The program product of claim 49, wherein the one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter further comprise:

one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter, wherein the first bracketing data and/or the second bracketing data include a white balance value.

63. The program product of claim 49, wherein the one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter further comprise:

one or more instructions for accepting (a) first data representing a first imagery aspect of an object, wherein the first data includes first bracketing data characterized by a first bracketing parameter, and (b) second data representing a second imagery aspect of the object, wherein the second data includes second bracketing data characterized by a second bracketing parameter, wherein the first bracketing data and/or the second bracketing data include a flash value.

64. The program product of claim 49, wherein the one or more instructions for combining at least a portion of the first data and at least a portion of the second data further comprise:

one or more instructions for comparing at least a portion of the first data with at least a portion of the second data.

65. The program product of claim 49, wherein the one or more instructions for combining at least a portion of the first data and at least a portion of the second data further comprise:

one or more instructions for applying a mathematical algorithm to at least a portion of the first data and at least a portion of the second data.

66. The program product of claim 49, wherein a signal-bearing medium further comprises:

one or more instructions for deriving third data from the combining at least a portion of the first data and at least a portion of the second data.

67. The program product of claim 66, wherein the one or more instructions for deriving third data from the combining at least a portion of the first data and at least a portion of the second data further comprise:

one or more instructions for deriving third data representing an object identification of the object.

68. The program product of claim 66, wherein the one or more instructions for deriving third data from the combining at least a portion of the first data and at least a portion of the second data further comprise:

one or more instructions for deriving third data representing an object designation of the object.

69. The program product of claim 66, wherein the one or more instructions for deriving third data from the combining at least a portion of the first data and at least a portion of the second data further comprise:

one or more instructions for deriving third data representing a spatial position of the object.

70. The program product of claim 66, wherein the one or more instructions for deriving third data from the combining at least a portion of the first data and at least a portion of the second data further comprise:

one or more instructions for deriving third data representing an edge and/or a boundary and/or an outline of the object.

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