Face segmentation: A comparison between visible and thermal images
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Abstract (arXiv)
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
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 1 of its 8 references that are in the map. First posted on arXiv 29 Mar 2022.
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1 of 8 references.
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- 2022Biometric security technologycited by 6
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Citing papers per year: 2022: 1.
1 paper.