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This paper addresses these issues and proposes a robust algorithm that overcomes these limitations. The limitations are resolved through transforming pixels.
Oct 22, 2024 · We propose a method of face identification under various illumination conditions. Because we use image based method for identification, ...
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In this paper, we propose an approach considering structured sparsity to deal with the illumination changes and occlusion at the same time. Our approach ...
Advanced research in the field of face recognition shows that varying illumination conditions influence the performance of different face recognition ...
Illumination and expression variations are still a challenging problem in face recognition. In this work, we present an efficient face recognition method ...
Advanced research in the field of face recognition shows that varying illumination conditions influence the performance of different face recognition algorithms ...
Robust Face Recognition under various illumination conditions · Atsushi Matsumoto, N. Shimada, +2 authors. Y. Shirai · Published in IAPR International Workshop…
Nov 12, 2024 · The algorithm first performs logarithm transform on original face images under various illumination conditions, which changes multiplicative ...
Firstly, textural values are changed during illumination normalization due to increase in the contrast that changes the original pixels of face. Secondly, it ...
Under varying illumination and pose conditions, the face of same person appears to be different due to varying lightening and different viewing conditions.