DocumentCode :
3360116
Title :
The research of the match of corresponding points in multi-view and the realization by evolutionary programming
Author :
Junjun, Pan ; Yanning, Zhang ; Hong, Zhou ; Yuxia, Hou ; Lihua, Long ; Lan, Yao
Author_Institution :
Sch. of Comput., Northwest Poly-Technology Univ., Xi´´an, China
Volume :
3
fYear :
2004
fDate :
31 Aug.-4 Sept. 2004
Firstpage :
2202
Abstract :
Present a corresponding point match algorithm based on "the regulation of the minimum summation of euclid distance". This algorithm gives the regulation that makes the corresponding points match to the highest accuracy according to the condition that the relative position is almost fixed for corresponding points in adjoining area if two images are acquired by means of multi-view. This match algorithm is realized by evolutionary programming. By experiment on PC, the result demonstrates that it can match the most corresponding points in low time cost.
Keywords :
computer vision; evolutionary computation; mathematical programming; euclid distance; evolutionary programming; point match algorithm; Calibration; Character recognition; Computer vision; Genetic programming; Image recognition; Mathematical model; Mathematics; Stereo vision; User-generated content;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
Type :
conf
DOI :
10.1109/ICOSP.2004.1442215
Filename :
1442215
Link To Document :
بازگشت