Uncertainty in Geometric Computations
By: edited by Joab Winkler, Mahesan Niranjan
Contributors: Niranjan, Mahesan
Series: The Springer International Series in Engineering and Computer Science -- 704; International series in engineering and computer science -- 704.
Publisher: Springer US
Published: 2002
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 210
ISBN-13: 9781461352525; 9781461508137
Subjects: Electronic data processing; Computer vision; Computer graphics; Computer-aided design; Computer science
Description: Uncertainty in Geometric Computations contains the proceedings of a workshop that was held in Sheffield, United Kingdom, in which the management and assessment of uncertainty in geometric computations was considered. The theme that unites these four subject areas is the requirement to perform computations on real geometric data, which (i) may have errors, for example, the tolerance of a coordinate measuring machine that is used in reverse engineering, and/or (ii) is incomplete because of occlusion, which may occur in computer vision, for example, a face recognition system. These characteristics of real geometric data impose tight constraints on the methods and algorithms that are used for their processing and interrogation, and this workshop provided a forum for their discussion.
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