A view-based 3D object shape representation technique

被引：0
|
作者：
Ebrahim, Yasser [1 ]
Ahmed, Maher [1 ]
Chau, Siu-Cheung [1 ]
Abdelsalam, Wegdan [2 ]
机构：
[1] Wilfrid Laurier Univ, Waterloo, ON N2L 3C5, Canada
[2] Univ Guelph, Guelph, ON N1G 2W1, Canada
来源：
IMAGE ANALYSIS AND RECOGNITION, PROCEEDINGS | 2007年 / 4633卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present a novel approach to 3D shape representation and matching utilizing a set of shape representations for 2D views of the object. The proposed technique capitalizes on the localization-preserving nature of the Hilbert space filling curve and the approximation capabilities of the Wavelet transform. Each 2D view of the object is represented by a concise ID representation that can be used to search an image database for a match. The shape of the 3D image is represented by the set of ID representations of its 2D views. Experimental results, on a subset of the Amsterdam Library of Object Images (ALOI) dataset, are provided.
引用
收藏
页码：411 / +
页数：3
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