Evaluation of Cost Functions for Stereo Matching

Stereo correspondence methods rely on matching costs for computing the similarity of image locations. In this paper we evaluate the insensitivity of different matching costs with respect to radiometric variations of the input images. We consider both pixel-based and window-based variants and measure...

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Bibliographic Details
Published in2007 IEEE Conference on Computer Vision and Pattern Recognition pp. 1 - 8
Main Authors Hirschmuller, H., Scharstein, D.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.06.2007
Subjects
Cost function
Entropy
Filters
Histograms
Layout
Light sources
Mutual information
Pixel
Radiometry
Testing
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ISBN9781424411795
1424411793
ISSN1063-6919
1063-6919
DOI10.1109/CVPR.2007.383248

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Summary:Stereo correspondence methods rely on matching costs for computing the similarity of image locations. In this paper we evaluate the insensitivity of different matching costs with respect to radiometric variations of the input images. We consider both pixel-based and window-based variants and measure their performance in the presence of global intensity changes (e.g., due to gain and exposure differences), local intensity changes (e.g., due to vignetting, non-Lambertian surfaces, and varying lighting), and noise. Using existing stereo datasets with ground-truth disparities as well as six new datasets taken under controlled changes of exposure and lighting, we evaluate the different costs with a local, a semi-global, and a global stereo method.
ISBN:9781424411795
1424411793
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2007.383248