DocumentCode
755578
Title
Feature point correspondence in the presence of occlusion
Author
Salari, V. ; Sethi, Ishwar K.
Author_Institution
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
Volume
12
Issue
1
fYear
1990
fDate
1/1/1990 12:00:00 AM
Firstpage
87
Lastpage
91
Abstract
Occlusion and poor feature point detection are two of the main difficulties in the use of multiple frames for establishing correspondence of feature points. A formulation of the correspondence problem as an optimization problem is used to handle these difficulties. Modifications to an existing iterative optimization procedure for solving the formulation of the correspondence problem are discussed. Experimental results are presented to show the merits of the formulation
Keywords
iterative methods; optimisation; pattern recognition; feature point correspondence; feature point detection; iterative optimization; multiple frames; occlusion; pattern recognition; Computer science; Computer vision; Geometry; Image edge detection; Image sequences; Laplace equations; Layout; Lighting; Remuneration; Tracking;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.41387
Filename
41387
Link To Document