The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Evaluation of Stereo Matching Costs on Images with Radiometric Differences
Abstract
Stereo correspondence methods rely on matching costs for computing the similarity of image locations. We evaluate the insensitivity of different costs for passive binocular stereo methods with respect to radiometric variations of the input images. We consider both pixel-based and window-based variants like the absolute difference, the sampling-insensitive absolute difference, and normalized cross correlation, as well as their zero-mean versions. We also consider filters like LoG, mean, and bilateral background subtraction (BilSub) and nonparametric measures like Rank, SoftRank, Census, and Ordinal. Finally, hierarchical mutual information (HMI) is considered as pixelwise cost. Using stereo data sets with ground-truth disparities taken under controlled changes of exposure and lighting, we evaluate the costs with a local, a semiglobal, and a global stereo method. We measure the performance of all costs in the presence of simulated and real radiometric differences, including exposure differences, vignetting, varying lighting, and noise. Overall, the ranking of methods across all data sets and experiments appears to be consistent. Among the best costs are BilSub, which performs consistently very well for low radiometric differences; HMI, which is slightly better as pixelwise matching cost in some cases and for strong image noise; and Census, which showed the best and most robust overall performance.
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Cites
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Self-citationAn experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
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Stereo Processing by Semiglobal Matching and Mutual Information
Hirschmuller, H. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1166 · Cited by 4,195
Self-citationWhat energy functions can be minimized via graph cuts?
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Self-citationHigh-quality video view interpolation using a layered representation
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Embedded Real-time Stereo Estimation via Semi-global Matching on the GPU
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Metadata
- Authors
- Hirschmuller, H., & Scharstein, D.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2009-09
- Volume
- 31
- Issue
- 9
- Pages
- 1582-1599
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2128357735
- Cited by
- 721
- References
- 35
- FWCI
- 35.32
- Type
- journal article
- Language
- en
- Open access
- closed
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