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Fast motion estimation using bidirectional gradient methods A. Averbuch1
 

Summary: Fast motion estimation using bidirectional gradient methods
A. Averbuch1
, Y. Keller1;2
1
School of Computer Science, Tel Aviv University, Tel Aviv 69978
Israel
2
Dept. of Electrical Engineering Systems
Tel-Aviv University
Tel-Aviv 69978, Israel
Abstract
Gradient based motion estimation techniques (GM) are considered to be in the heart of state-
of-the-art registration algorithms, being able to account for both pixel and subpixel registration
and to handle various motion models (translation, rotation, ane, projective). These methods
estimate the motion between two images based on the local changes in the image intensities while
assuming image smoothness. This paper oers two main contributions: (i) Enhancement of the
GM technique by introducing two new bidirectional formulations of the GM. This improves the
convergence properties for large motions. (ii) We present an analytical convergence analysis
of the GM and its properties. Experimental results demonstrate the applicability of these
algorithms to real images.

  

Source: Averbuch, Amir - School of Computer Science, Tel Aviv University

 

Collections: Computer Technologies and Information Sciences