DocumentCode :
1742304
Title :
A novel bidirectional framework for control and refinement of area based correlation techniques
Author :
Werth, Peter ; Scherer, Stefan
Author_Institution :
Erich-Schmid-Inst. for Mater. Sci., Austrian Acad. of Sci., Leoben, Austria
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
730
Abstract :
A key issue in performing stereo reconstruction is to find stereo correspondences. For this purpose a novel unified framework for arbitrary area based correlation methods is presented. The commonly neglected problem of ambiguities is addressed and a solution based on relaxation of match candidates is introduced. The method comes with the major benefits of a reverse matching step at almost no extra computational cost. The results of one match direction is used to select match candidates. Then these candidates are correlated backward with a different method. The proposed framework does not require any initial estimations. Experiments are performed on ground truth under varying geometric and varying noise conditions. Finally, the method is compared to a number of well known techniques
Keywords :
computer vision; correlation methods; image matching; image reconstruction; stereo image processing; correlation methods; image matching; image reconstruction; reverse matching; stereo image processing; stereo vision; Computational complexity; Computational efficiency; Computer graphics; Correlation; Image matching; Image reconstruction; Materials science and technology; Noise robustness; Stereo image processing; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903648
Filename :
903648
Link To Document :
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