IEEE Trans Pattern Anal Mach Intell - Computing the Inner Distances of Volumetric Models for Articulated Shape Description with a Visibility Graph.

Tópicos

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Resumo

A new visibility graph based algorithm is presented for computing the inner distances of a 3D shape represented by a volumetric model. The inner distance is defined as the length of the shortest path between landmark points within the shape. The inner distance is robust to articulation and can reflect well the deformation of a shape structure without an explicit decomposition. Our method is based on the visibility graph approach. To check the visibility between pairwise points, we propose a novel, fast, and robust visibility checking algorithm based on a clustering technique which operates directly on the volumetric model without any surface reconstruction procedure, where an octree is used for accelerating the computation. The inner distance can be used as a replacement for other distance measures to build a more accurate description for complex shapes, especially for those with articulated parts. The binary executable program for the Windows platform is available from https://engineering.purdue.edu/PRECISE/VMID.

Resumo Limpo

new visibl graph base algorithm present comput inner distanc d shape repres volumetr model inner distanc defin length shortest path landmark point within shape inner distanc robust articul can reflect well deform shape structur without explicit decomposit method base visibl graph approach check visibl pairwis point propos novel fast robust visibl check algorithm base cluster techniqu oper direct volumetr model without surfac reconstruct procedur octre use acceler comput inner distanc can use replac distanc measur build accur descript complex shape especi articul part binari execut program window platform avail httpsengineeringpurdueeduprecisevmid

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