Free-form 3D objects compression using surface signature

被引:0
作者
Anan, HF [1 ]
Yamany, SM [1 ]
机构
[1] Old Dominion Univ, Dept Comp Sci, Norfolk, VA 23529 USA
来源
INTELLIGENT ROBOTS AND COMPUTER VISION XIX: ALGORITHMS, TECHNIQUES, AND ACTIVE VISION | 2000年 / 4197卷
关键词
compression; free-form 3D models;
D O I
10.1117/12.403764
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 introduces a new transform, called the signature transform, to concisely represent free-form 3D objects. The signature transform is based on a foe-form surface representation called the surface signature(1.2). The surface signature captures some information about a 3D surface, as viewed from a special point called the anchor, such as the curvature, distance from anchor point,....etc. The surface signature stores these information in the form of a 2D image called the surface signature image. The signature transform uses different variations of the surface signature as viewed f om selected landmark points. The selection of anchor points is crucial to the success of the signature transform an approach for selecting landmark points based on curvature value will be presented. The signature transform can then be used as a form of a progressive compression of objects that will allow the view and manipulation of the 3D object even if all the compression data are not received. Unlike the previously existing progressive compression techniques, the signature transform does not require receiving the data in special order nor does it have key frames in the representation.
引用
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页码:202 / 210
页数:9
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