Illumination alignment using lighting ratio: Application to 3D-2D face recognition

Xi Zhao; Shishir K. Shah; Ioannis A. Kakadiaris

doi:10.1109/FG.2013.6553782

Illumination alignment using lighting ratio: Application to 3D-2D face recognition

Xi Zhao, Shishir K. Shah, Ioannis A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

Abstract

Illumination alignment is accomplished by relighting or unlighting methods that compensate the appearance differences due to variations in illumination conditions between a pair of face images or among a set of face images. In this paper, we propose a lighting ratio based method that avoids parameter tuning process by using an image-specific low-pass filtering. In addition, it includes an optimization step that brings the images into a similar energy level. The proposed method is simple and does not require any prior knowledge of the number, position, type of lighting sources or the 3D face geometry. Experimental results indicate that our method is effective and efficient for illumination-robust face recognition.

Original language	English (US)
Title of host publication	2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013
DOIs	https://doi.org/10.1109/FG.2013.6553782
State	Published - 2013
Event	2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013 - Shanghai, China Duration: Apr 22 2013 → Apr 26 2013

Publication series

Name	2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013

Conference

Conference	2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013
Country/Territory	China
City	Shanghai
Period	4/22/13 → 4/26/13

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/FG.2013.6553782

Cite this

Zhao, X., Shah, S. K., & Kakadiaris, I. A. (2013). Illumination alignment using lighting ratio: Application to 3D-2D face recognition. In 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013 Article 6553782 (2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013). https://doi.org/10.1109/FG.2013.6553782

Illumination alignment using lighting ratio: Application to 3D-2D face recognition. / Zhao, Xi; Shah, Shishir K.; Kakadiaris, Ioannis A.
2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013. 2013. 6553782 (2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhao, X, Shah, SK & Kakadiaris, IA 2013, Illumination alignment using lighting ratio: Application to 3D-2D face recognition. in 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013., 6553782, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013, Shanghai, China, 4/22/13. https://doi.org/10.1109/FG.2013.6553782

Zhao X, Shah SK, Kakadiaris IA. Illumination alignment using lighting ratio: Application to 3D-2D face recognition. In 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013. 2013. 6553782. (2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013). doi: 10.1109/FG.2013.6553782

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AB - Illumination alignment is accomplished by relighting or unlighting methods that compensate the appearance differences due to variations in illumination conditions between a pair of face images or among a set of face images. In this paper, we propose a lighting ratio based method that avoids parameter tuning process by using an image-specific low-pass filtering. In addition, it includes an optimization step that brings the images into a similar energy level. The proposed method is simple and does not require any prior knowledge of the number, position, type of lighting sources or the 3D face geometry. Experimental results indicate that our method is effective and efficient for illumination-robust face recognition.

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Illumination alignment using lighting ratio: Application to 3D-2D face recognition

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