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 ...

The method described in this paper, is a belief function based approach and consists of two stages. The training stage, where 3D-objects in the same category ...

Grouping 3D objects into (semantically) meaningful categories is a challenging and important problem in. 3D mining and shape processing.

Grouping 3D-objects into (semantically) meaningful categories is a challenging and important problem in. 3D-mining and shape processing.

Grouping 3D-objects into (semantically) meaningful categories is a challenging and important problem in 3D-mining and shape processing.

A parts-based approach for automatic 3D shape categorization using belief functions. Hedi Tabia, Mohamed Daoudi, Jean-Philippe Vandeborre, Olivier Colot ...

We present a new interactive and online approach to classify 3D shapes progressively by integrating online learning and user intervention.

Aug 30, 2017 · Tabia et al. A parts-based approach for automatic 3D shape categorization using belief functions. ACM Trans. Intell. Syst. Technol. (TIST).

Our system, accumulative categorization, allows users to collect, classify and annotate 3D shapes interactively in an online circular manner. Our system learns ...

Existing algorithms for 3D shape representation can be roughly categorized into feature-based, view- based and graph-based approaches [2,3]. In feature-based ...