DocumentCode
1458202
Title
A gradient algorithm for stereo matching without correspondence
Author
Zhou, J. ; Ghosh, B.K.
Author_Institution
Broadway & Seymour Inc., Charlotte, NC, USA
Volume
41
Issue
11
fYear
1996
fDate
11/1/1996 12:00:00 AM
Firstpage
1671
Lastpage
1676
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;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.544006
Filename
544006
Link To Document