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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Harville, M. Baker, H. Bhatti, N. Susstrunk, S. |
| Copyright Year | 2005 |
| Description | Author affiliation: Hewlett-Packard Lab., Palo Alto, CA, USA (Harville, M.; Baker, H.; Bhatti, N.) |
| Abstract | Little prior image processing work has addressed estimation and classification of skin color in a manner that is independent of camera and illuminant. To this end, we first present new methods for 1) fast, easy-to-use image color correction, with specialization toward skin tones, and 2) fully automated estimation of facial skin color, with robustness to shadows, specularities, and blemishes. Each of these is validated independently against ground truth, and then combined with a classification method that successfully discriminates skin color across a population of people imaged with several different cameras. We also evaluate the effects of image quality and various algorithmic choices on our classification performance. We believe our methods are practical for relatively untrained operators, using inexpensive consumer equipment. |
| File Size | 160850 |
| File Format | |
| ISBN | 0780391349 |
| DOI | 10.1109/ICIP.2005.1530070 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-14 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Skin Cameras Image processing Pipelines Image quality Pixel Image color analysis Biomedical imaging Computer graphics Image segmentation |
| Content Type | Text |
| Resource Type | Article |
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