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A gradient algorithm for stereo matching without correspondence

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2 Author(s)
J. Zhou ; Broadway & Seymour Inc., Charlotte, NC, USA ; B. K. Ghosh

In this paper we study the problem of feature point matching via a technique well known in geometry, leading to a new gradient algorithm in machine vision. The procedure does not require one to solve explicit correspondences between feature points but relies on a specific form of “spatial averaging”. In this sense the estimation procedure is robust. In this paper we describe the algorithm and report simulation results

Published in:

IEEE Transactions on Automatic Control  (Volume:41 ,  Issue: 11 )