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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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Uncertainty in Geometric Computations
2002, Springer US
electronic resource /
in English
1461352525 9781461352525
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| August 3, 2020 | Edited by ImportBot | import existing book |
| July 7, 2019 | Created by MARC Bot | import new book |

