Face segmentation: A comparison between visible and thermal images

03/29/2022
by   Jiri Mekyska, et al.
0

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

READ FULL TEXT

page 1

page 2

page 3

research
01/07/2021

A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset

Thermal face imagery, which captures the naturally emitted heat from the...
research
09/21/2022

Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images

Reliable segmentation of thermal facial images in unconstrained settings...
research
02/24/2022

A new face database simultaneously acquired in visible, near infrared and thermal spectrum

In this paper we present a new database acquired with three different se...
research
07/29/2019

Specular- and Diffuse-reflection-based Face Liveness Detection for Mobile Devices

In light of the rising demand for biometric-authentication systems, prev...
research
02/23/2022

Thermal hand image segmentation for biometric recognition

In this paper we present a method to identify people by means of thermal...
research
03/15/2022

On the focusing of thermal images

In this paper we present a new thermographic image database suitable for...
research
10/14/2020

Photovoltaic module segmentation and thermal analysis tool from thermal images

The growing interest in the use of clean energy has led to the construct...

Please sign up or login with your details

Forgot password? Click here to reset