Title :
A gradient algorithm for stereo matching without correspondence
Author :
Zhou, J. ; Ghosh, B.K.
Author_Institution :
Broadway & Seymour Inc., Charlotte, NC, USA
fDate :
11/1/1996 12:00:00 AM
Abstract :
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
Keywords :
Lie algebras; computer vision; feature extraction; image matching; optimisation; stereo image processing; Lie algebra; feature point matching; gradient algorithm; machine vision; spatial averaging; stereo correspondence; stereo matching; Cameras; Charge coupled devices; Charge-coupled image sensors; Computational modeling; Geometry; Machine vision; Robustness; Symmetric matrices; US Department of Energy;
Journal_Title :
Automatic Control, IEEE Transactions on
