DocumentCode :
1984993
Title :
Corner Feature Extraction and Matching for Image Sequences Using Trinocular Geometry Approach
Author :
Pengqiang Zhang ; Xuchu Yu ; Qiongying Fu ; Jinchun Qin ; Ming Yang
Author_Institution :
Inst. of Surveying & Mapping, Inf. Eng. Univ., Zhengzhou, China
Volume :
2
fYear :
2013
fDate :
28-29 Oct. 2013
Firstpage :
331
Lastpage :
334
Abstract :
A new corner feature extraction and matching algorithm using trinocular epipolar line geometry from image sequences is presented. In this algorithm the third adjacent image is introduced to extract matching corner features procedure between the two images indirectly. Experimental results validated that the extracted features using the proposed algorithm are uniform essentially to those extracted from the two images directly.
Keywords :
computational geometry; feature extraction; image matching; image sequences; corner feature extraction algorithm; corner feature matching algorithm; image sequences; trinocular epipolar line geometry approach; Cameras; Computer vision; Equations; Feature extraction; Geometry; Image sequences; Mathematical model; corner feature matching; epipolar line geometry; image sequences; trinocular epipolar line geometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
Type :
conf
DOI :
10.1109/ISCID.2013.196
Filename :
6804895
Link To Document :
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