3D shape retrieval basing on representatives of classes

TL;DR

This paper enhances 3D shape retrieval by representing each class with multiple representatives, improving the accuracy of class identification and retrieval relevance in classified databases.

Contribution

The paper introduces a multi-representative approach for class-based 3D shape retrieval, improving upon previous single-representative methods.

Findings

Retrieval relevance is significantly improved.

Using multiple representatives increases class identification accuracy.

Experimental results confirm the effectiveness of the proposed method.

Abstract

In this paper, we present an improvement of our proposed technique for 3D shape retrieval in classified databases [2] which is based on representatives of classes. Instead of systematically matching the object-query with all 3D models of the database, our idea presented in [2] consist, for a classified database, to represent each class by one representative that is used to orient the retrieval process to the right class (the class excepted to contain 3D models similar to the query). In order to increase the chance to fall in the right class, our idea in this work is to represent each class by more than one representative. In this case, instead of using only one representative to decide which is the right class we use a set of representatives this will contribute certainly to improving the relevance of retrieval results. The obtained experimental results show that the relevance is significantly improved.