# Face segmentation: A comparison between visible and thermal images

arXiv: https://arxiv.org/abs/2203.15366 · HTML: https://mlsanity.com/paper/2203.15366/

## Key facts

- Cited by 1 papers 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.

## Builds on (most cited first, 1 of 1)

- [Biometric security technology](https://mlsanity.com/paper/2202.11459/) (2022)

## Built on by (most cited first, 1 of 1)

- [Preliminary experiments on thermal emissivity adjustment for face images](https://mlsanity.com/paper/2203.16107/) (2022)

## 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