Conformal geometric methods in computer vision

Conformal geometric methods in computer vision Conference

Zeng, W, Gu, DX. (2011). Conformal geometric methods in computer vision . 10.1109/CEWIT.2011.6135892

Shape analysis has fundamental importance in computer vision, including surface matching, registration, tracking, classification, recognition, etc. Computational methods based on conformal geometry can map any 3D surface to a 2D canonical domain. They provide a novel approach to 3D problems by converting them to 2D problems, which greatly simplifies the computation process. With this framework, we present a series of matching and registration methods for general surfaces, especially with large non-rigid deformations and complicated topologies. In addition, we introduce a global and unique shape signature for shape recognition applications. Experiments on a variety of real scans from different equipments demonstrate the efficiency and efficacy of the conformal geometric methods in computer vision applications. © 2011 IEEE.