CORRESPONDENCE PROBLEM IN IMAGE SEQUENCE-ANALYSIS

被引：14

作者：

LEE, CH ^{[1
]}

JOSHI, A ^{[1
]}

机构：

[1] PURDUE UNIV,DEPT COMP SCI,W LAFAYETTE,IN 47907

来源：

PATTERN RECOGNITION | 1993年 / 26卷 / 01期

基金：

美国国家科学基金会;

关键词：

TIME VARYING IMAGES; CORRESPONDENCE; REDUCTIONIST APPROACH; PARALLELISM;

D O I：

10.1016/0031-3203(93)90087-D

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An algorithm to address the correspondence problem in image sequence analysis is proposed. The underlying philosophy of this algorithm is reductionist, and is based on the assertion that measurements pertaining to motion that are obtained from the whole image sequence must be very similar to the measurements that are obtained from corresponding portions of the image sequence. The algorithm has been extensively tested on synthesized data as well as on real image sequences. It appears that the assumption underlying the proposed algorithm is quite useful and applicable to a large class of images. The proposed algorithm has a high degree of inherent parallelism, and is thus suited for implementation on parallel machines.

引用

页码：47 / 61

页数：15

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