DocumentCode :
2022987
Title :
Homography matrix genetic consensus estimation algorithm
Author :
Yao, Da ; Zhou, Jun ; Xue, Zhi
Author_Institution :
Inst. of Image Commun. & Inf. Process., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2010
fDate :
23-25 Nov. 2010
Firstpage :
1139
Lastpage :
1143
Abstract :
Homography matrix plays an important role in image stitching, camera calibration and other areas of computer vision. This paper presents a novel robust algorithm HM-GCE to estimate homography matrix with principles of genetic algorithm. Related experiments prove its superiority on the robustness, precision and time-consuming compared to the RANSAC algorithm.
Keywords :
cameras; computer vision; genetic algorithms; RANSAC; camera calibration; computer vision; genetic algorithm; homography matrix; image stitching; matrix genetic consensus estimation algorithm; robust algorithm HM-GCE; Accuracy; Algorithm design and analysis; Computer vision; Estimation; Genetics; Pattern matching; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio Language and Image Processing (ICALIP), 2010 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-5856-1
Type :
conf
DOI :
10.1109/ICALIP.2010.5685084
Filename :
5685084
Link To Document :
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