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Sampling the Disparity Space Image.
- Source :
- IEEE Transactions on Pattern Analysis & Machine Intelligence; Mar2004, Vol. 26 Issue 3, p419-425, 7p, 1 Black and White Photograph, 7 Diagrams, 1 Chart
- Publication Year :
- 2004
-
Abstract
- A central issue in stereo algorithm design is the choice of matching cost. Many algorithms simply use squared or absolute intensity differences based on integer disparity steps. In this paper, we address potential problems with such approaches. We begin with a careful analysis of the properties of the continuous disparity space image (DSI) and propose several new matching cost variants based on symmetrically matching interpolated image signals. Using stereo images with ground truth, we empirically evaluate the performance of the different cost variants and show that proper sampling can yield improved matching performance. Index Terms—Stereo algorithms; matching cost; subpixel sampling; disparity space image; aliasing. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01628828
- Volume :
- 26
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Pattern Analysis & Machine Intelligence
- Publication Type :
- Academic Journal
- Accession number :
- 12360616
- Full Text :
- https://doi.org/10.1109/TPAMI.2004.1262341