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Occlusion expression recognition based on non-convex low-rank double dictionaries and occlusion error model
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Why is it important?
Aiming at effectively correcting recognition error caused by partial facial occlusion, and simultaneously reducing the influence of facial individual′s difference on expression recognition, a novel method based on double dictionaries got by non-convex low-rank decomposition and occlusion error model is proposed in this paper.
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This page is a summary of: Occlusion expression recognition based on non-convex low-rank double dictionaries and occlusion error model, Signal Processing Image Communication, August 2019, Elsevier,
DOI: 10.1016/j.image.2019.04.006.
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