Skin surface reconstruction from stereo images
Article No.: 62, Pages 1 - 4
Abstract
A novel stereo matching algorithm for skin surface reconstruction is proposed in the paper. Wrinkles are distributed on the skin to form a grid which is the feature for stereo matching. Test results show that most matched points by feature extraction algorithms such as corner detection lie on the wrinkle grid. Skin images taken by two cameras together differ slightly due to the light influence. The architecture is based on the image segmentation, taking into account skin properties. Graph cut algorithm is used for skin segmentation, and an improved region based algorithm is used for dense matching. We compare and evaluate our stereo results with respect to other proposed algorithms with our test images.
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Index Terms
- Skin surface reconstruction from stereo images
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Published In
January 2010
550 pages
ISBN:9781605588933
DOI:10.1145/2108616
- Conference Chairs:
- Kwan-Ho You,
- Sang-Won Lee,
- General Chairs:
- Won Kim,
- Dongho Won
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Published: 14 January 2010
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ICUIMC '10: The 4th International Conference on Ubiquitous Information Management and Communication
January 14 - 15, 2010
Suwon, Republic of Korea
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