Computational Geometry With Independent And Dependent Uncertainties (Hardcover)

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.

General

Imprint:	World Scientific Publishing Co Pte Ltd
Country of origin:	Singapore
Release date:	September 2022
Authors:	Rivka Gitik • Leo Joskowicz
Dimensions:	158 x 236 x 16mm (L x W x T)
Format:	Hardcover
Pages:	160
ISBN-13:	978-981-12-5383-6
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Promotions
LSN:	981-12-5383-8
Barcode:	9789811253836

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