Entropy based Log Chromaticity Projection for Real-time Stereo Matching
Most of the existing stereo matching algorithms will assume a similar corresponding color values between stereo images. In the real scenario, these color values are effected by several radiometric factors such as illumination direction, illumination color, camera parameters, etc, which results in di...
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Published in | Procedia technology Vol. 6; pp. 223 - 230 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
2012
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Subjects | |
Online Access | Get full text |
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Summary: | Most of the existing stereo matching algorithms will assume a similar corresponding color values between stereo images. In the real scenario, these color values are effected by several radiometric factors such as illumination direction, illumination color, camera parameters, etc, which results in different color values between the corresponding points. Hence, applying the stereo algorithm directly on the raw color values is not appropriate for the real-time environment. This paper proposes an entropy minimization based log chromaticity projection for stereo image, thereby extracting the invariant image, which is independent of illumination and color. The developed invariant image is the perfect measure for finding the similarity between the corresponding points. Normalized cross correlation based similarity measure is applied on the generated invariant image and the obtained disparity outperforms some of the local and global stereo algorithms. |
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ISSN: | 2212-0173 2212-0173 |
DOI: | 10.1016/j.protcy.2012.10.027 |