TY - JOUR
T1 - Fast motion estimation using bidirectional gradient methods
AU - Averbuch, A.
AU - Keller, Y.
PY - 2002
Y1 - 2002
N2 - Gradient based motion estimation techniques (GM) are considered to be in the heart of state-of-the-art registration algorithms [2], being able to account for both pixel and subpixel registration and to handle various motion models (translation, rotation, affine, projective). These methods estimate the motion between two images based on the local changes in the image intensities while assuming image smoothness. This paper introduces two new bidirectional formulations of the GM, improving the convergence properties for large motions. Experimental results demonstrate the applicability of these algorithms to real images.
AB - Gradient based motion estimation techniques (GM) are considered to be in the heart of state-of-the-art registration algorithms [2], being able to account for both pixel and subpixel registration and to handle various motion models (translation, rotation, affine, projective). These methods estimate the motion between two images based on the local changes in the image intensities while assuming image smoothness. This paper introduces two new bidirectional formulations of the GM, improving the convergence properties for large motions. Experimental results demonstrate the applicability of these algorithms to real images.
UR - http://www.scopus.com/inward/record.url?scp=0036296732&partnerID=8YFLogxK
U2 - 10.1109/icassp.2002.5745438
DO - 10.1109/icassp.2002.5745438
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AN - SCOPUS:0036296732
SN - 1520-6149
VL - 4
SP - 3616
EP - 3619
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
ER -