What is it about?
Occlusion expression recognition based on non-convex low-rank double dictionaries and occlusion error model
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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