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A novel method is proposed for pose-invariant gender classification based on three-dimensional (3D) face reconstruction from only 2D frontal images. A 3D face model is reconstructed from only a single 2D frontal image. Then, for each two-class of gender in the database, a feature library matrix (FLM) is created from yaw face poses by rotating the 3D reconstructed models and extracting features in...
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