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2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1
Geometric Blur for Template Matching
Kauai, Hawaii
December 08-December 14
ISBN: 0-7695-1272-0
Alexander C. Berg, University of California, Berkeley
Jitendra Malik, University of California, Berkeley
We address the problem of finding point correspondences in images by way of an approach to template matching that is robust under affine distortions. This is achieved by applying "geometric blur" to both the template and the image, resulting in a fall-off in similarity that is close to linear in the norm of the distortion between the template and the image. Results in wide baseline stereo correspondence, face detection, and feature correspondence are included.
Citation:
Alexander C. Berg, Jitendra Malik, "Geometric Blur for Template Matching," cvpr, vol. 1, pp.607, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001
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