Gradient descent approach for minimizing dissimilarity measure in log-polarimagery

Log-polar mapping has been proposed as a very appropriate space-variant imaging model in active vision applications. There is no doubt about the importance of translation estimation in active visual tracking. In this paper an approach is presented,and its performances are evaluated. The approach use...

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Bibliographic Details
Published in:Optoelectronics letters 2006-07, Vol.2 (4), p.302-304
Main Authors: Jin, Yong-jun, Jiang, You-yi
Format: Article
Language:English
Subjects:
图象处理
图象模型
空间变量
视频跟踪
Citations: Items that this one cites
Online Access:Get full text
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Summary:Log-polar mapping has been proposed as a very appropriate space-variant imaging model in active vision applications. There is no doubt about the importance of translation estimation in active visual tracking. In this paper an approach is presented,and its performances are evaluated. The approach uses a gradient descent for minimizing a dissimilarity measure. The experimental results reveal that this method is efficient for approaching active image translations.
ISSN:1673-1905
1993-5013
DOI:10.1007/BF03033666