Computational geometry With independent and dependent uncertainties

Rivka Gitik*, Leo Joskowicz

*Corresponding author for this work

Research output: Book/ReportBookpeer-review

Abstract

This comprehensive compendium describes a parametric model and algorithmic theory to represent geometric entities with dependent uncertainties between them. The theory, named Linear Parametric Geometric Uncertainty Model (LPGUM), is an expressive and computationally efficient framework that allows to systematically study geometric uncertainty and its related algorithms in computer geometry. The self-contained monograph is of great scientific, technical, and economic importance as geometric uncertainty is ubiquitous in mechanical CAD/CAM, robotics, computer vision, wireless networks and many other fields. Geometric models, in contrast, are usually exact and do not account for these inaccuracies. This useful reference text benefits academics, researchers, and practitioners in computer science, robotics, mechanical engineering and related fields.

Original languageAmerican English
PublisherWorld Scientific Publishing Co. Pte Ltd
Number of pages145
ISBN (Electronic)9789811253843
ISBN (Print)9789811253836
DOIs
StatePublished - 11 Aug 2022

Bibliographical note

Publisher Copyright:
© 2023 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.

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