Geometric and topological lossy compression of dense range images

被引：2

作者：

Sappa, AD ^{[1
]}

García, MA ^{[1
]}

Vintimilla, BX ^{[1
]}

机构：

[1] CNRS, LAAS, F-31077 Toulouse 4, France

来源：

2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS | 2000年

关键词：

D O I：

10.1109/ICIP.2000.899433

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 presents a technique for lossy compression of dense range images. Two separate compression schemes are applied. The first scheme (geometric compression) reduces redundant geometric information by generating an adaptive 3D triangular mesh that approximates the shapes present in the original range image. Geometric compression is used for obtaining an efficient representation of the range image that allows further processing. The second compression scheme (topological compression) encodes the connectivity information contained in the triangular mesh. Topological compression is used for generating a compact representation suitable to be stored or transmitted. Both compression schemes avoid costly iterative optimization algorithms. Results with real range images are presented.

引用

页码：423 / 426

页数：4

共 9 条

[1] A PYRAMIDAL DATA STRUCTURE FOR TRIANGLE-BASED SURFACE DESCRIPTION [J].

DEFLORIANI, L .

IEEE COMPUTER GRAPHICS AND APPLICATIONS, 1989, 9 (02) :67-78

[2]

GARCIA MA, 1995, IEEE INT CONF ROBOT, P2043, DOI 10.1109/ROBOT.1995.525563

[3]

Garcia MA, 1998, IEEE INT CONF ROBOT, P3085, DOI 10.1109/ROBOT.1998.680899

[4]

Garcia MA, 1997, IEEE INT CONF ROBOT, P2813, DOI 10.1109/ROBOT.1997.606713

[5]

GARCIA MA, 1996, 13 IAPR INT C PATT R, V3, P568

[6]

GARCIA MA, 1997, IEEE INT C COMP VIS, P628

[7]

SOUCY M, 1992, IEEE INT C ROB AUT, P1701

[8]

TAUBIN G, 1996, RC20340 IBM

[9]

TERZOPOULOS D, 1991, IEEE INT C COMP VIS, P70

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