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.


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    Title :

    Geometric blur for template matching


    Contributors:
    Berg, A.C. (author) / Malik, J. (author)


    Publication date :

    2001-01-01


    Size :

    1115919 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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