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Abstract
In computer vision, the mapping between data on distinct domains remains as an open problem. For example, it's a challenge to recognize the identity of a person in different representations, such as photos, hand-drawn sketches and 3D scanned models. Most methods don't explore the non-Euclidean geometry of manifolds, which models curves and surfaces such as the human face. A geometric appr…