ENGLISH

Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space

By Sung Joon Ahn (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2004
ISBN
3540239669, 9783540286271, 9783540239666
DOI
10.1007/b104017
ISSN
0302-9743
LCC
QA297.6 .A36 2004
Open Library ID
OL3316723M
Language
english
Format
PDF
Filesize
4 MB (4051252 bytes)
Series
Lecture Notes in Computer Science 3151
Edition
1
Pages
127\149
Library
Kolxo3
Time added
2009-12-04 00:34:26
Numeric Computing; Algorithm Analysis and Problem

Description

Due to the continuing progress of sensor technology, the availability of 3-D c- eras is already foreseeable. These cameras are capable of generating a large set of measurement points within a very short time. There is a variety of 3-D camera - plications in the ?elds of robotics, rapid product development and digital factories. In order to not only visualize the point cloud but also to recognize 3-D object m- els from the point cloud and then further process them in CAD systems, ef?cient and stable algorithms for 3-D information processing are required. For the au- matic segmentation and recognition of such geometric primitives as plane, sphere, cylinder, cone and torus in a 3-D point cloud, ef?cient software has recently been developed at the Fraunhofer IPA by Sung Joon Ahn. This book describes in detail the complete set of ‘best-?t’ algorithms for general curves and surfaces in space which are employed in the Fraunhofer software.

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