Identifying repeated-structure elements in images

Details Identifying repeated-structure elements in images Identifying repeated-structure elements in images

2006-09-19

2010-06-01

Le, Vu (Department: 2624)

Image analysis

Learning systems

Reexamination Certificate

active

07729531

ABSTRACT:
Many problems in the fields of image processing and computer vision relate to creating good representations of information in images of objects in scenes. We provide a system for learning repeated-structure elements from one or more input images. The repeated-structure elements are patches that may be single pixels or coherent groups of pixels of varying shape, size and appearance (where those shapes and sizes are not pre-specified). Input images are mapped to a single output image using offset maps to specify the mapping. A joint probability distribution on the offset maps, output image and input images is specified and an unsupervised learning process is used to learn the offset maps and output image. The learnt output image comprises repeated-structure elements. This shape and appearance information captured in the learnt repeated-structure elements may be used for object recognition and many other tasks.

REFERENCES:
Eran Borenstein, “Shape Guided Object Segmentation,” 2006, IEEE.
Borenstein, E. et al., “Class-specific, top-down segmentation”, In Proceedings of European Conference on Computer Vision, 2003, 14 pages.
Borenstein, E. et al., “Combining top-down and bottom-up segmentation”, In Proceedings IEEE workshop on Perceptual Organization in Computer Vision, CVPR 2004, 8 pages.
Boykov, Y. et al., “Fast approximate energy minimization via graph cuts”, PAMI, 23(11), 2001, 8 pages.
Efros, A. et al., “Image quilting for texture synthesis and transfer”, vol. 20, 2001, 6 pages.
Fergus, R. et al. “Object class recognition by unsupervised scale-invariant learning”, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 264-271, Jun. 2003.
Freeman, W. et al. “Learning low-level vision”, Int. J. Computer Vision, 40(1), 2000, pp. 25-47.
Huttenlocher, Crandall, et al., “Spatial priors for part-based recognition using statistical models”, In Proceedings of IEEE CVPR, 2005, 8 pages.
Jojic N., et al. “Epitomic analysis of appearance and shape”, in Proceedings of IEEE ICCV, 2003, 10 pages.
Leibe, B. et al., “Interleaved object categorization and segmentation”, In Proceedings of British Machine Vision Conference, 2003, 10 pages.
Roth, S. et al. “Fields of experts: A framework for learning image priors”, In Proceedings of IEEE CVPR, 2005, 8 pages.
Turk, Matthew “Eigenfaces and Beyond”, Academic Press 2005, pp. 1-29.
Zisserman, A. et al., “Image-based rendering using image-based priors”, In Proceedings of IEEE ICCV, 2003, 8 pages.

Affiliated with

Also associated with

Rating

Identifying repeated-structure elements in images does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Identifying repeated-structure elements in images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Identifying repeated-structure elements in images will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4201748