Introduction
Abstract
Shape analysis becomes increasingly important in many applications such as computer vision, pattern recognition, image processing, robotics, computer graphics, and so on. Lately, a large number of 2D or 3D shapes are produced with advanced technologies, including computer-aided design, laser scanning, structure light camera, and MRI or CT scanning. Although 3D shape data are presented in various formats, those formats can be converted to each other. The increasing 3D shape data demand a variety of shape analysis methods. Considering shapes as general data, there exist basic analyses, for example, matching, indexing, recognition, retrieval, registration, and mapping. On top of these basic ones, high-level understanding ...
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