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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/27775

Title: 3D model retrieval using principal plane analysis and dynamic programming
Authors: Chen-Tsung Kuoa;Shyi-Chyi Cheng
Contributors: NTOU:Department of Computer Science and Engineering
國立臺灣海洋大學:資訊工程學系
Keywords: 3D models;3D model retrieval;Principal plane analysis;Graph matching;Dynamic programming
Date: 2007-02
Issue Date: 2011-10-21T02:33:58Z
Publisher: Pattern Recognition
Abstract: Abstract:Three dimensional models play an important role in many applications; the problem is how to select the appropriate models from a 3D database rapidly and accurately. In recent years, a variety of shape representations, statistical methods, and geometric algorithms have been proposed for matching 3D shapes or models. In this paper, we propose a 3D shape representation scheme based on a combination of principal plane analysis and dynamic programming. The proposed 3D shape representation scheme consists of three steps. First, a 3D model is transformed into a 2D image by projecting the vertices of the model onto its principal plane. Second, the convex hall of the 2D shape of the model is further segmented into multiple disjoint triangles using dynamic programming. Finally, for each triangle, a projection score histogram and moments are extracted as the feature vectors for similarity searching. Experimental results showed the robustness of the proposed scheme, which resists translation, rotation, scaling, noise, and destructive attacks. The proposed 3D model retrieval method performs fairly well in retrieving models having similar characteristics from a database of 3D models.
Relation: 40(2), pp.742-755
URI: http://ntour.ntou.edu.tw/handle/987654321/27775
Appears in Collections:[資訊工程學系] 期刊論文

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