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Recursive estimation of motion parameters

DSpace at IIT Bombay

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Field Value
 
Title Recursive estimation of motion parameters
 
Creator CHAUDHURI, S
SHARMA, S
CHATTERJEE, S
 
Subject noisy images
regression
algorithm
rank
 
Description A robust algorithm that estimates the motion parameters recursively from a sequence of noisy images is presented here. We propose the use of the least median of squares method in conjunction with a computationally efficient recursive scheme. The method works well even when nearly half of the features have been matched very poorly. A recursive constrained least squares method is developed while dealing with a range or stereo data sequence and a recursive total least squares method is proposed for the monocular data sequence. (C) 1996 .
 
Publisher ACADEMIC PRESS INC JNL-COMP SUBSCRIPTIONS
 
Date 2011-07-12T20:31:00Z
2011-12-26T13:02:17Z
2011-12-27T05:48:14Z
2011-07-12T20:31:00Z
2011-12-26T13:02:17Z
2011-12-27T05:48:14Z
1996
 
Type Article
 
Identifier COMPUTER VISION AND IMAGE UNDERSTANDING, 64(3), 434-442
1077-3142
http://dx.doi.org/10.1006/cviu.1996.0070
http://dspace.library.iitb.ac.in/xmlui/handle/10054/3499
http://hdl.handle.net/10054/3499
 
Language en