DocumentCode :
3415700
Title :
Using perceptual attributes to obtain dense depth maps
Author :
Koschan, Andreas
Author_Institution :
Inst. for Tech. Inf., Tech. Univ. Berlin, Germany
fYear :
1996
fDate :
8-9 Apr 1996
Firstpage :
155
Lastpage :
159
Abstract :
An efficient technique is presented for obtaining dense stereo correspondence using a new adaptive block matching technique. First, one of the color stereo images (e.g., the left) is segmented into chromatic and achromatic regions using perceptual attributes in the HSI color space. Then the block matching technique is applied to the stereo images using adaptive similarity measures. The results have been compared to the results of the gray value algorithm. The precision of the matching results always improved by 25 to 30% when using the adaptive color algorithm instead of the gray value algorithm
Keywords :
adaptive signal processing; image colour analysis; image matching; image segmentation; stereo image processing; visual perception; HSI color space; achromatic regions; adaptive block matching; adaptive color algorithm; adaptive similarity measures; chromatic regions; color stereo image; dense depth maps; dense stereo correspondence; gray value algorithm; perceptual attributes; Digital images; Image matching; Image reconstruction; Image segmentation; Informatics; Pixel; Scattering; Stereo image processing; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-3200-8
Type :
conf
DOI :
10.1109/IAI.1996.493745
Filename :
493745
Link To Document :
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