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Thermal infra-red (IR) images focus on changes of temperature distribution on facial muscles and blood vessels. These temperature changes can be regarded as texture features of images. A comparative study of face recognition methods working…

Computer Vision and Pattern Recognition · Computer Science 2013-09-05 Ayan Seal , Suranjan Ganguly , Debotosh Bhattacharjee , Mita Nasipuri , Dipak Kumar Basu

Over the course of the last decade, infrared (IR) and particularly thermal IR imaging based face recognition has emerged as a promising complement to conventional, visible spectrum based approaches which continue to struggle when applied in…

Computer Vision and Pattern Recognition · Computer Science 2013-06-10 Reza Shoja Ghiass , Ognjen Arandjelovic , Hakim Bendada , Xavier Maldague

In this paper we present a comparative study on fusion of visual and thermal images using different wavelet transformations. Here, coefficients of discrete wavelet transforms from both visual and thermal images are computed separately and…

Computer Vision and Pattern Recognition · Computer Science 2010-07-06 M. K. Bhowmik , Debotosh Bhattacharjee , M. Nasipuri , D. K. Basu , M. Kundu

Over the course of the last decade, infrared (IR) and particularly thermal IR imaging based face recognition has emerged as a promising complement to conventional, visible spectrum based approaches which continue to struggle when applied in…

Computer Vision and Pattern Recognition · Computer Science 2013-06-11 Reza Shoja Ghiass , Ognjen Arandjelovic , Hakim Bendada , Xavier Maldague

Face recognition in real life situations like low illumination condition is still an open challenge in biometric security. It is well established that the state-of-the-art methods in face recognition provide low accuracy in the case of poor…

Computer Vision and Pattern Recognition · Computer Science 2019-02-26 Sumit Agarwal , Harshit S. Sikchi , Suparna Rooj , Shubhobrata Bhattacharya , Aurobinda Routray

The reduction of the cost of infrared (IR) cameras in recent years has made IR imaging a highly viable modality for face recognition in practice. A particularly attractive advantage of IR-based over conventional, visible spectrum-based face…

Computer Vision and Pattern Recognition · Computer Science 2014-07-29 Reza Shoja Ghiass , Ognjen Arandjelovic , Hakim Bendada , Xavier Maldague

The article analyzes the use of thermal imaging technologies for biometric identification based on facial thermograms. It presents a comparative analysis of infrared spectral ranges (NIR, SWIR, MWIR, and LWIR). The paper also defines key…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Elizaveta Prozorova , Anton Konev , Vladimir Faerman

In this paper, a thermal infra red face recognition system for human identification and verification using blood perfusion data and back propagation feed forward neural network is proposed. The system consists of three steps. At the very…

Computer Vision and Pattern Recognition · Computer Science 2013-09-06 Ayan Seal , Suranjan Ganguly , Debotosh Bhattacharjee , Mita Nasipuri , Dipak Kumar Basu

In this paper fusion of visual and thermal images in wavelet transformed domain has been presented. Here, Daubechies wavelet transform, called as D2, coefficients from visual and corresponding coefficients computed in the same manner from…

Computer Vision and Pattern Recognition · Computer Science 2010-07-06 Mrinal Kanti Bhowmik , Debotosh Bhattacharjee , Mita Nasipuri , Dipak Kumar Basu , Mahantapas Kundu

Detecting people in images is a challenging problem. Differences in pose, clothing and lighting, along with other factors, cause a lot of variation in their appearance. To overcome these issues, we propose a system based on fused range and…

Computer Vision and Pattern Recognition · Computer Science 2016-12-08 Wim Abbeloos , Toon Goedemé

This paper presents a comparative study of two different methods, which are based on fusion and polar transformation of visual and thermal images. Here, investigation is done to handle the challenges of face recognition, which include pose…

Computer Vision and Pattern Recognition · Computer Science 2016-11-15 Mrinal Kanti Bhowmik , Debotosh Bhattacharjee , Dipak Kumar Basu , Mita Nasipuri

In this paper we present a technique for fusion of optical and thermal face images based on image pixel fusion approach. Out of several factors, which affect face recognition performance in case of visual images, illumination changes are a…

Computer Vision and Pattern Recognition · Computer Science 2010-07-06 Mrinal Kanti Bhowmik , Debotosh Bhattacharjee , Mita Nasipuri , Dipak Kumar Basu , Mahantapas Kundu

Biometric methods based on iris images are believed to allow very high accuracy, and there has been an explosion of interest in iris biometrics in recent years. In this paper, we use the Scale Invariant Feature Transformation (SIFT) for…

Computer Vision and Pattern Recognition · Computer Science 2021-11-02 Fernando Alonso-Fernandez , Pedro Tome-Gonzalez , Virginia Ruiz-Albacete , Javier Ortega-Garcia

Facial landmark tracking for thermal images requires tracking certain important regions of subjects' faces, using images from thermal images, which omit lighting and shading, but show the temperatures of their subjects. The fluctuations of…

Computer Vision and Pattern Recognition · Computer Science 2023-11-15 James Baker

Purpose: The terahertz (THz) medical imaging is a promising noninvasive technique for monitoring the skin's conditions, early detection of the human skin cancer, and recovery from burns and wounds. It can be applied for visualization of…

In this work we investigate a novel approach to handle the challenges of face recognition, which includes rotation, scale, occlusion, illumination etc. Here, we have used thermal face images as those are capable to minimize the affect of…

Computer Vision and Pattern Recognition · Computer Science 2010-07-06 Mrinal Kanti Bhowmik , Debotosh Bhattacharjee , Mita Nasipuri , Dipak Kumar Basu , Mahantapas Kundu

This paper demonstrates two different fusion techniques at two different levels of a human face recognition process. The first one is called data fusion at lower level and the second one is the decision fusion towards the end of the…

Computer Vision and Pattern Recognition · Computer Science 2011-06-20 Mrinal Kanti Bhowmik , Gautam Majumdar , Debotosh Bhattacharjee , Dipak Kumar Basu , Mita Nasipuri

In this paper we present a method to identify people by means of thermal (TH) and visible (VIS) hand images acquired simultaneously with a TESTO 882-3 camera. In addition, we also present a new database specially acquired for this work. The…

Computer Vision and Pattern Recognition · Computer Science 2022-02-24 Xavier Font-Aragones , Marcos Faundez-Zanuy , Jiri Mekyska

Infrared thermography (IRT) is a widely used non-destructive testing technique for detecting structural features such as subsurface defects. However, most IRT post-processing methods generate image sequences in which defect visibility…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Harutyun Yagdjian , Martin Gurka

The relatively hot temperature of the human body causes people to turn into long-wave infrared light sources. Since this emitted light has a larger wavelength than visible light, many surfaces in typical scenes act as infrared mirrors with…

Computer Vision and Pattern Recognition · Computer Science 2023-05-03 Ruoshi Liu , Carl Vondrick
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