Contextual Part Analogies in 3D Objects

作者:L. Shapira, S. Shalom, A. Shamir, D. Cohen-Or, H. Zhang

摘要

In this paper we address the problem of finding analogies between parts of 3D objects. By partitioning an object into meaningful parts and finding analogous parts in other objects, not necessarily of the same type, many analysis and modeling tasks could be enhanced. For instance, partial match queries can be formulated, annotation of parts in objects can be utilized, and modeling-by-parts applications could be supported. We define a similarity measure between two parts based not only on their local signatures and geometry, but also on their context within the shape to which they belong.

论文关键词:Part retrieval, Shape signature, Hierarchical partitioning, Distance measure, Shape matching

论文评审过程:

论文官网地址:https://doi.org/10.1007/s11263-009-0279-0