A Parts-Based Approach for Automatic 3D Shape Categorization Using Belief Functions

作者：Tabia Hedi^*; Daoudi Mohamed; Vandeborre Jean Philippe; Colot Olivier

来源：ACM Transactions on Intelligent Systems and Technology, 2013, 4(2): UNSP 33.

• Algorithms
• Experimentation
• Multimedia data
• classification
• 3D categorization
• object recognition
• belief functions

Grouping 3D objects into (semantically) meaningful categories is a challenging and important problem in 3D mining and shape processing. Here, we present a novel approach to categorize 3D objects. The method described in this article, is a belief-function-based approach and consists of two stages: the training stage, where 3D objects in the same category are processed and a set of representative parts is constructed, and the labeling stage, where unknown objects are categorized. The experimental results obtained on the Tosca-Sumner and the Shrec07 datasets show that the system efficiently performs in categorizing 3D models.

• 出版日期2013-3