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Image Quality Assessment to Enhance Infrared Face Recognition

Abstract: 

Automatic quality evaluation of infrared images has not been researched as extensively as for images of the visible spectrum. Moreover, there is a lack of studies on the influence of degradation of image quality on the performance of computer vision tasks operating on thermal images. Here, we quantify the impact of common image distortions on infrared face recognition, and present a method for aggregating perceptual quality-aware features to improve the identification rates. We use Natural Scene Statistics (NSS) to detect degradation of infrared images, and to adapt the face recognition algorithm to the quality of the test image. The proposed approach applied to a face identification algorithm based on thermal signatures yielded an improvement of rank one recognition rates between 11% and 19%. These results confirm the relevance of image quality assessment for improving biometric identification systems that use thermal images.

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Paper Details

Authors:
Camilo G. Rodríguez Pulecio, Hernan D. Benítez-Restrepo, Alan C. Bovik
Submitted On:
18 September 2017 - 8:55am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Camilo Rodriguez
Paper Code:
1168
Document Year:
2017
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Document Files

ICIP 2017 Presentation Slides

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[1] Camilo G. Rodríguez Pulecio, Hernan D. Benítez-Restrepo, Alan C. Bovik, "Image Quality Assessment to Enhance Infrared Face Recognition", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2223. Accessed: Jul. 21, 2018.
@article{2223-17,
url = {http://sigport.org/2223},
author = {Camilo G. Rodríguez Pulecio; Hernan D. Benítez-Restrepo; Alan C. Bovik },
publisher = {IEEE SigPort},
title = {Image Quality Assessment to Enhance Infrared Face Recognition},
year = {2017} }
TY - EJOUR
T1 - Image Quality Assessment to Enhance Infrared Face Recognition
AU - Camilo G. Rodríguez Pulecio; Hernan D. Benítez-Restrepo; Alan C. Bovik
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2223
ER -
Camilo G. Rodríguez Pulecio, Hernan D. Benítez-Restrepo, Alan C. Bovik. (2017). Image Quality Assessment to Enhance Infrared Face Recognition. IEEE SigPort. http://sigport.org/2223
Camilo G. Rodríguez Pulecio, Hernan D. Benítez-Restrepo, Alan C. Bovik, 2017. Image Quality Assessment to Enhance Infrared Face Recognition. Available at: http://sigport.org/2223.
Camilo G. Rodríguez Pulecio, Hernan D. Benítez-Restrepo, Alan C. Bovik. (2017). "Image Quality Assessment to Enhance Infrared Face Recognition." Web.
1. Camilo G. Rodríguez Pulecio, Hernan D. Benítez-Restrepo, Alan C. Bovik. Image Quality Assessment to Enhance Infrared Face Recognition [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2223