3D model comparison using spatial structure circular descriptor

被引：100

作者：

Gao, Yue ^{[1
]}

Dai, Qionghai ^{[1
]}

Zhang, Nai-Yao ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Automat, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China

来源：

PATTERN RECOGNITION | 2010年 / 43卷 / 03期

关键词：

3D model; Comparison; Retrieval; Spatial structure circular descriptor; OBJECT RECOGNITION; SIMILARITY SEARCH; RETRIEVAL; ASSIGNMENT;

D O I：

10.1016/j.patcog.2009.07.012

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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, ail 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. (C) 2009 Elsevier Ltd. All rights reserved

引用

页码：1142 / 1151

页数：10

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