3D model feature extraction method based on the partial physical descriptor

Abstract

With the rapid development of 3D scanners, graphic accelerated hardware and modeling tools, the application of 3D model databases is growing in both numbers and size. There is a pressing need for effective content-based 3D model retrieval methods. In this paper, a novel 3D model retrieval system called Physical Descriptor (PDD) is proposed. The physical descriptor is defined as the physical features extracted from the 3D surface. Firstly, after pose normalization for 3D database, the 3D model is partitioned into several parts by the planes paralleling the XOY, YOZ and XOZ plane respectively. Each partial part is represented by a physical feature named as PPD, which is a combination the inertia moment, elastic potential energy and the density of the sliced part. Several retrieval performance measures demonstrate that the proposed approach is superior to other methods. © 2013 Springer-Verlag.