Local sliced Wasserstein feature sets for illumination invariant face recognition

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Yan Zhuang, Shiying Li, Mohammad Shifat-E.-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Gustavo K. Rohde

Published: 2025, Last Modified: 07 Dec 2025Pattern Recognit. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A novel local sliced Wasserstein method for illumination invariant face recognition.•The method is based on mathematical modeling of local gradient distributions.•Lighting variations can be encoded in a subspace in local sliced-Wasserstein domain.•Convexified geometry and linear separability with sliced-Wasserstein embedding.•An efficient non-iterative solution to the classification problem.