A Novel 3D Model Retrieval Approach Based on Model-Partitioning and Fuzzy Relevance Feedback
3D models play an important role in many applications, so there is an urgent need for an effective content based 3D model retrieval system. A variety of 3D model retrieval methods have been proposed in recent years. Shape distributions show superiority over other methods due to ease of computation and invariance to Euclidean motion, but there is poor retrieval performance for the loss in information. This paper introduces two model-partitioning methods to improve shape distributions, in which the two enhanced descriptors are combined with a fuzzy feedback method. Experimental results show that the proposed methods can achieve better retrieval performance.
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
K. S. Zou et al., "A Novel 3D Model Retrieval Approach Based on Model-Partitioning and Fuzzy Relevance Feedback", Advanced Materials Research, Vols. 143-144, pp. 186-190, 2011