A cGAN denoiser on three orthogonal planes plus an LDGCNN recognizer is reported to improve noisy 3D face recognition accuracy by up to 14.81% over prior methods on Bosphorus.
Overview of Proposed Method Point clouds are sparse and unstructured [12] (unlike densely structured models such as 2D images), enabling them to rep- resent complex models flexibly
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Face recognition on point cloud with cgan-top for denoising
A cGAN denoiser on three orthogonal planes plus an LDGCNN recognizer is reported to improve noisy 3D face recognition accuracy by up to 14.81% over prior methods on Bosphorus.