КФУ. Карточка публикации. A Comparison of Gaussian and Mean Curvatures Estimation Methods on Triangular Meshes

КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ

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A COMPARISON OF GAUSSIAN AND MEAN CURVATURES ESTIMATION METHODS ON TRIANGULAR MESHES

Форма представления

Тезисы и материалы конференций в зарубежных журналах и сборниках

Год публикации

2003

Язык

английский

Авторы, сотрудники КФУ

Магид Евгений Аркадьевич, автор

Библиографическое описание на языке оригинала

Surazhsky T., Magid E., Soldea O., Elber G., & Rivlin E. A Comparison of Gaussian and Mean Curvatures Estimation Methods on Triangular Meshes // International Conference on Robotics and Automation (ICRA 2003) (Taipei, Taiwan; 14-19 September 2003) - p. 1021-1026.

Аннотация

Proceedings of the International Conference on Robotics and Automation 2003 (ICRA 2003)

Ключевые слова

Geometric modeling, principal curvatures, Gaussian curvature, total curvature, mean curvature, polygonal mesh, triangular mesh, range data

Название журнала

Proceedings of the International Conference on Robotics and Automation 2003 (ICRA 2003)

URL

http://www.cs.technion.ac.il/~ehudr/publications/pdf/SurazhskyMSER03i.pdf

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https://repository.kpfu.ru/?p_id=149732

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F_2003_A_Comparison_of_Gaussian_and_Mean_Curvatures_Estimation_Methods_on_Triangular_Meshes.__2_.pdf	0,40	pdf	посмотреть / скачать

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Магид Евгений Аркадьевич	ru_RU
dc.date.accessioned	2003-01-01T00:00:00Z	ru_RU
dc.date.available	2003-01-01T00:00:00Z	ru_RU
dc.date.issued	2003	ru_RU
dc.identifier.citation	Surazhsky T., Magid E., Soldea O., Elber G., & Rivlin E. A Comparison of Gaussian and Mean Curvatures Estimation Methods on Triangular Meshes // International Conference on Robotics and Automation (ICRA 2003) (Taipei, Taiwan; 14-19 September 2003) - p. 1021-1026.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=149732	ru_RU
dc.description.abstract	Proceedings of the International Conference on Robotics and Automation 2003 (ICRA 2003)	ru_RU
dc.description.abstract	Estimating intrinsic geometric properties of a surface from a polygonal mesh obtained from range data is an important stage of numerous algorithms in computer and robot vision, computer graphics, geometric modeling, industrial and biomedical engineering. This work considers different computational schemes for local estimation of intrinsic curvature geometric properties. Five different algorithms and their modifications were tested on triangular meshes that represent tesselations of synthetic geometric models. The results were compared with the analytically computed values of the Gaussian and mean curvatures of the non uniform rational B-spline (NURBs) surfaces, these meshes originated from. This work manifests the best algorithms suited for total (Gaussian) and mean curvature estimation, and shows that indeed different alogrithms should be employed to compute the Gaussian and mean curvatures.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Geometric modeling	ru_RU
dc.subject	principal curvatures	ru_RU
dc.subject	Gaussian curvature	ru_RU
dc.subject	total curvature	ru_RU
dc.subject	mean curvature	ru_RU
dc.subject	polygonal mesh	ru_RU
dc.subject	triangular mesh	ru_RU
dc.subject	range data	ru_RU
dc.title	A Comparison of Gaussian and Mean Curvatures Estimation Methods on Triangular Meshes	ru_RU
dc.type	Тезисы и материалы конференций в зарубежных журналах и сборниках	ru_RU