Recovery of hierarchical part structure of 3-D shape from range image

Yoshinobu Sato, J. Ohya, K. Ishii
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引用次数: 2

Abstract

A formulation of the part decomposition problem motived by the minimum-description-length (MDL) criteria is presented. Unlike previous MDL approaches which use analytic functions, a general geometric constraint, convexity, is used as a part constraint. Therefore, the method is suitable for complex natural shapes such as human faces. The recovery process consists of a bottom-up grouping process and a subsequent optimization process based on the MDL criteria. The definite causal relations of part structure between different sensitivity levels are used to recover the hierarchy of part structure. Part decomposition experiments involving real 3-D range images are reported.<>
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从距离图像中恢复三维形状的分层零件结构
提出了一种由最小描述长度(MDL)准则驱动的零件分解问题的表述。与以前使用解析函数的MDL方法不同,它使用一般的几何约束,即凸性,作为部分约束。因此,该方法适用于人脸等复杂的自然形状。恢复过程由自下而上的分组过程和基于MDL标准的后续优化过程组成。利用零件结构在不同灵敏度水平之间的明确因果关系,恢复零件结构的层次关系。报道了真实三维距离图像的局部分解实验。
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