Manifold estimation in view-based feature space for face synthesis across poses
作者： Xinyu Huang , Jizhou Gao , Sen-ching S. Cheung , Ruigang Yang
DOI: 10.1007/978-3-642-12307-8_4
关键词: Feature vector 、 Smoothness 、 Energy minimization 、 Mathematics 、 Gesture recognition 、 Pattern recognition 、 Face (geometry) 、 Artificial intelligence 、 Image (mathematics) 、 Facial recognition system 、 Manifold 、 Computer vision
摘要: This paper presents a new approach to synthesize face images under different pose changes given single input image. The is based on two observations: 1. series of person poses could be mapped smooth manifold in the unified feature space. 2. manifolds from faces are separated each other by their dissimilarities. estimation formulated as an energy minimization problem with smoothness constraints. experiments show that can robustly synthesized one image, even large variations.
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