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

页码：411 / +

页数：3

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