MOTION ESTIMATION IN A PLURALITY OF TEMPORALLY SUCCESSIVE DIGITAL IMAGES

• US 20090052743A1
• Filed: 10/12/2005
• Published: 02/26/2009
• Est. Priority Date: 10/12/2004
• Status: Abandoned Application

• Current Assignee: Infineon Technologies AG
• Original Assignee: Infineon Technologies AG
• Inventors: Techmer, Axel
• Application Number:
  US11/577,131
• Publication Number:
  US 20090052743A1
• Time in Patent Office: Days
• US Class Current: 382/107
• CPC Class Codes: G06T 7/246 using feature-based methods, e.g. the tracking of corners or segments
• CPC Class Codes: G06T 7/33 using feature-based methods

Abstract

Method for computer-aided motion estimation in a plurality of temporally successive digital images. The method includes first partial motion estimating in a second digital image relative to a first digital image temporally preceding the second digital image; constructing a reference image structure from the first digital image and the second digital image based on the first partial motion estimation, the reference image structure containing at least features from the first digital image and/or the second digital image; second partial motion estimating in a third digital image, which temporally succeeds the second digital image, relative to the second digital image; third partial motion estimating with a comparison of features of the third digital image and of the features contained in the reference image structure; and determining motion in the third digital image relative to the first digital image based on the third partial motion estimation, the second partial motion estimation and the first partial motion estimation.

Claims

1-13. -13. (canceled)

14. A method for computer-aided motion estimation in a plurality of temporally successive digital images, comprising:

first partial motion estimating in a second digital image relative to a first digital image temporally preceding the second digital image;

constructing a reference image structure from the first digital image and the second digital image based on the first partial motion estimation, the reference image structure containing at least features from the first digital image and/or the second digital image;

second partial motion estimating in a third digital image, which temporally succeeds the second digital image, relative to the second digital image;

third partial motion estimating with a comparison of features of the third digital image and of the features contained in the reference image structure; and

determining motion in the third digital image relative to the first digital image based on the third partial motion estimation, the second partial motion estimation and the first partial motion estimation.

15. The method as claimed in claim 14, further comprising, after determining the motion in the third digital image relative to the first digital image, supplementing the reference image structure by at least one feature from the third image.

16. The method as claimed in claim 14, further comprising determining motion in a fourth image, which temporally succeeds the first digital image, the second digital image and the third digital image, relative to the first digital image, the step of determining the motion in the fourth image comprising:

determining a fourth partial motion estimation in the fourth digital image relative to a further digital image which temporally precedes the fourth digital image and in which the motion relative to the first digital image has already been determined;

fifth partial motion estimating with a comparison of features of the fourth digital image and of the features contained in a reference image structure containing at least features of at least one image temporally preceding the fourth image; and

determining the motion based on the fifth partial motion estimation, the fourth partial motion estimation and the motion of the further digital image.

17. The method as claimed in claim 16, wherein the further reference image structure is a reference image structure extended by features from at least one digital image which temporally succeeds the second digital image and temporally precedes the fourth digital image.

18. The method as claimed in claim 14, wherein the partial motion estimations are carried out in a feature-based manner.

19. The method as claimed in claim 14, wherein the partial motion estimations are carried out with subpixel accuracy.

20. The method as claimed in claim 14, further comprising determining an affine motion model or a perspective motion model in each of the partial motion estimations.

21. The method as claimed in claim 14, wherein the first partial motion estimation, the second partial motion estimation and the third partial motion estimation are carried out by means of the same method for motion estimation in temporally successive images.

22. The method as claimed in claim 14, wherein, in order to carry out the third partial motion estimation, features are mapped onto the reference image structure based on the first partial motion estimation and the second partial motion estimation, and the third partial motion estimation is carried out by estimating the motion of the mapped features relative to the features contained in the reference image structure.

23. The method as claimed in claim 14, wherein each of the motion estimations is carried out in the context of generating a mosaic image, calibrating a camera, a super-resolution method, video compression or a three-dimensional estimation.

24. An arrangement for computer-aided motion estimation in a plurality of temporally successive digital images, comprising:

a first processing unit configured to carry out a first partial motion estimation in a second digital image relative to a first digital image temporally preceding the second digital image;

a second processing unit configured to construct a reference image structure from the first digital image and the second digital image based on the first partial motion estimation, the reference image structure containing at least features from the first digital image and/or the second digital image;

a third processing unit configured to carry out a second partial motion estimation in a third digital image, which temporally succeeds the second digital image, relative to the second digital image;

a fourth processing unit configured to carry out a third partial motion estimation with a comparison of features of the third digital image and of the features contained in the reference image structure; and

a fifth processing unit configured to determine motion in the third digital image relative to the first digital image based on the third partial motion estimation, the second partial motion estimation and the first partial motion estimation.

25. A computer program element which, after it has been loaded into a memory of a computer, causes the computer to conduct a method for computer-aided motion estimation in a plurality of temporally successive digital images, the method comprising:

first partial motion estimating in a second digital image relative to a first digital image temporally preceding the second digital image;

constructing a reference image structure from the first digital image and the second digital image based on the first partial motion estimation, the reference image structure containing at least features from the first digital image and/or the second digital image;

second partial motion estimating in a third digital image, which temporally succeeds the second digital image, relative to the second digital image;

third partial motion estimating with a comparison of features of the third digital image and of the features in the reference image structure; and

determining motion in the third digital image relative to the first digital image based on the third partial motion estimation, the second partial motion estimation and the first partial motion estimation.

26. A computer-readable storage medium, on which a program is stored which, after it has been loaded into a memory of a computer, causes the computer to conduct a method for computer-aided motion estimation in a plurality of temporally successive digital images, the method comprising:

first partial motion estimating in a second digital image relative to a first digital image temporally preceding the second digital image;

constructing a reference image structure from the first digital image and the second digital image based on the first partial motion estimation, the reference image structure containing at least features from the first digital image and/or the second digital image;

second partial motion estimating in a third digital image, which temporally succeeds the second digital image, relative to the second digital image;

third partial motion estimating with a comparison of features of the third digital image and of the features in the reference image structure; and

determining motion in the third digital image relative to the first digital image based on the third partial motion estimation, the second partial motion estimation and the first partial motion estimation.