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