Article ID Journal Published Year Pages File Type
533624 Pattern Recognition 2010 10 Pages PDF
Abstract

This paper proposes a 3D model comparison algorithm based on a 3D model descriptor: spatial structure circular descriptor (SSCD). The spatial structure is important in content-based 3D model analysis. Within the SSCD, the spatial structure of a 3D model is described by 2D images, and the attribute values of each pixel represent 3D spatial information. Hence, SSCD can preserve the global spatial structure of 3D models, and is invariant to rotation and scaling. In addition, by using 2D images to describe the spatial information of 3D models, all spatial information of the 3D models can be represented by SSCD without redundancy. Thus, SSCD can be applied to many scenarios which utilize spatial information. In this paper, an SSCD-based 3D model comparison algorithm is presented. The proposed algorithm has been tested on 3D model retrieval experiments. Experimental results demonstrate the effectiveness of the proposed algorithm.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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