Robust Face Image Matching under Illumination Variations
<p/> <p>Face image matching is an essential step for face recognition and face verification. It is difficult to achieve robust face matching under various image acquisition conditions. In this paper, a novel face image matching algorithm robust against illumination variations is proposed...
Main Authors: | Yang Chyuan-Huei Thomas, Lai Shang-Hong, Chang Long-Wen |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2004-01-01
|
Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1155/S1110865704410014 |
Similar Items
-
Directional Illumination Estimation Sets and Multilevel Matching Metric for Illumination-Robust Face Recognition
by: Yong Cheng, et al.
Published: (2017-01-01) -
Using statistical characteristics of gradient phases for robust face recognition under illumination variations
by: Ching‐Yao Su, et al.
Published: (2015-06-01) -
Image Precise Matching With Illumination Robust in Vehicle Visual Navigation
by: Zhou Jingmei, et al.
Published: (2020-01-01) -
Neuro-Fuzzy Hybridization using Modified S Membership Function and Kernel Extreme Learning Machine for Robust Face Recognition under Varying Illuminations
by: Virendra Vishwakarma, et al.
Published: (2020-10-01) -
PREPROCESSING WITH SYMMETRICAL FACE AND GAMMA CORRECTION FOR FACE RECOGNITION UNDER VARYING ILLUMINATION WITH ROBUST REGRESSION CLASSIFICATION
by: Eva Y Puspaningrum, et al.
Published: (2017-12-01)