A gradient algorithm for stereo matching without correspondence

J. Zhou, B. K. Ghosh

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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.

Original languageEnglish
Pages (from-to)1671-1676
Number of pages6
JournalIEEE Transactions on Automatic Control
Issue number11
StatePublished - 1996


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