Infrared face recognition: A comprehensive review of methodologies and databases

Ghiass, Reza Shoja; Arandjelović, Ognjen; Bendada, A.; Maldague, Xavier

doi:10.1016/j.patcog.2014.03.015

Cited by 110 publications

(16 citation statements)

References 114 publications

(118 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the following, we will focus on work that is directly related to our approach, that is, based on the SWIR spectral range. A more general, comprehensive overview of methods for face recognition in the infrared spectrum, including the thermal infrared range, can be found in [3].…”

Section: Related Workmentioning

confidence: 99%

“…Consequently, biometric face recognition systems are becoming more frequently used, for example, at airports in the form of automated border control systems, for access control systems at critical infrastructure, or even for user log-on and authentication in computers or modern smartphones. However, despite the significant progress in the field, face recognition still faces serious problems in realworld scenarios when dealing with changing illumination conditions, poses, and facial expressions, as well as facial disguises ("fakes"), such as masks [3].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design of an Active Multispectral SWIR Camera System for Skin Detection and Face Verification

et al. 2016

View full text Add to dashboard Cite

Biometric face recognition is becoming more frequently used in different application scenarios. However, spoofing attacks with facial disguises are still a serious problem for state of the art face recognition algorithms. This work proposes an approach to face verification based on spectral signatures of material surfaces in the short wave infrared (SWIR) range. They allow distinguishing authentic human skin reliably from other materials, independent of the skin type. We present the design of an active SWIR imaging system that acquires four-band multispectral image stacks in real-time. The system uses pulsed small band illumination, which allows for fast image acquisition and high spectral resolution and renders it widely independent of ambient light. After extracting the spectral signatures from the acquired images, detected faces can be verified or rejected by classifying the material as “skin” or “no-skin.” The approach is extensively evaluated with respect to both acquisition and classification performance. In addition, we present a database containing RGB and multispectral SWIR face images, as well as spectrometer measurements of a variety of subjects, which is used to evaluate our approach and will be made available to the research community by the time this work is published.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of an Active Multispectral SWIR Camera System for Skin Detection and Face Verification

et al. 2016

View full text Add to dashboard Cite

show abstract

“…In the last years, Cho et al presented a method for face recognition based on the identification of vein bifurcation point pattern and gravity center of the thermal face, by means of Modified Hausdorff Distance [27]. An interesting review on this topic has been conducted by Ghiass et al [28], through the description of several emerging methodologies in the field and the references of the main available databases of infrared facial images. More recently, Hermosilla et al presented a novel method for face recognition based on the fusion of thermal and visible features through the use of genetic algorithms [29].…”

Section: Introductionmentioning

confidence: 99%

New Frontiers for Applications of Thermal Infrared Imaging Devices: Computational Psychopshysiology in the Neurosciences

Cardone

Merla

2017

Sensors

View full text Add to dashboard Cite

Thermal infrared imaging has been proposed, and is now used, as a tool for the non-contact and non-invasive computational assessment of human autonomic nervous activity and psychophysiological states. Thanks to a new generation of high sensitivity infrared thermal detectors and the development of computational models of the autonomic control of the facial cutaneous temperature, several autonomic variables can be computed through thermal infrared imaging, including localized blood perfusion rate, cardiac pulse rate, breath rate, sudomotor and stress responses. In fact, all of these parameters impact on the control of the cutaneous temperature. The physiological information obtained through this approach, could then be used to infer about a variety of psychophysiological or emotional states, as proved by the increasing number of psychophysiology or neurosciences studies that use thermal infrared imaging. This paper presents a review of the principal achievements of thermal infrared imaging in computational psychophysiology, focusing on the capability of the technique for providing ubiquitous and unwired monitoring of psychophysiological activity and affective states. It also presents a summary on the modern, up-to-date infrared sensors technology.

show abstract

“…Its application includes biology, tracking, and face recognition. The requirements on the infrared thermal image sequencing vary depending on the objectives of different studies [9], of which, infrared thermal facial image registration is an important research topic. However, there have been a few studies on infrared thermal image sequencing.…”

Section: Introductionmentioning

confidence: 99%

Infrared thermal facial image sequence registration analysis and verification

Chen

Jian

2015

Infrared Physics & Technology

View full text Add to dashboard Cite

Infrared face recognition: A comprehensive review of methodologies and databases

Cited by 110 publications

References 114 publications

Design of an Active Multispectral SWIR Camera System for Skin Detection and Face Verification

Design of an Active Multispectral SWIR Camera System for Skin Detection and Face Verification

New Frontiers for Applications of Thermal Infrared Imaging Devices: Computational Psychopshysiology in the Neurosciences

Infrared thermal facial image sequence registration analysis and verification

Contact Info

Product

Resources

About