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