Face segmentation: A comparison between visible and thermal images
| Autor: | Marcos Faundez-Zanuy, Virginia Espinosa-Duro, Jiri Mekyska |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Biometrics
Computer science business.industry Multispectral image Computer Science - Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-space segmentation Pattern recognition Image segmentation Facial recognition system Face (geometry) Thermal Segmentation Computer vision Artificial intelligence business |
| Zdroj: | 44th Annual 2010 IEEE International Carnahan Conference on Security Technology. |
| DOI: | 10.1109/ccst.2010.5678709 |
| Popis: | Face segmentation is a first step for face biometric systems. In this paper we present a face segmentation algorithm for thermographic images. This algorithm is compared with the classic Viola and Jones algorithm used for visible images. Experimental results reveal that, when segmenting a multispectral (visible and thermal) face database, the proposed algorithm is more than 10 times faster, while the accuracy of face segmentation in thermal images is higher than in case of Viola-Jones Comment: 5 pages, published in 44th Annual 2010 IEEE International Carnahan Conference on Security Technology, 2010, pp. 185-189, 5-8 Oct. 2010 San Jose (California, USA) |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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