Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space (Lecture Notes in Computer Science, 3151)

Ahn, Sung Joon

ISBN 10: 3540239669 / ISBN 13: 9783540239666

Published by Springer, 2004

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Bibliographic Details

• Title: Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space (Lecture Notes in Computer Science, 3151)
• Publisher: Springer
• Publication Date: 2004
• Language: English
• ISBN 10: 3540239669
• ISBN 13: 9783540239666
• Binding: paperback
• Condition: New
• Weight: 17 ounces

About this title

Synopsis

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