A comparison of algorithms for vertex normal computation

Autor:	Robert R. Lewis, Shuangshuang Jin, David West
Rok vydání:	2005
Předmět:	Computer graphics Class (set theory) Current (mathematics) Computation Computer Vision and Pattern Recognition Variety (universal algebra) Vertex normal Computer Graphics and Computer-Aided Design Algorithm Software Mathematics
Zdroj:	The Visual Computer. 21:71-82
ISSN:	1432-2315 0178-2789
DOI:	10.1007/s00371-004-0271-1
Popis:	We investigate current vertex normal computation algorithms and evaluate their effectiveness at approximating analytically computable (and thus comparable) normals for a variety of classes of model. We find that the most accurate algorithm depends on the class and that for some classes, none of the available algorithms is particularly good. We also compare the relative speeds of all algorithms.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8a88d4d0880097c14bdbe26c0aaa5e83 https://doi.org/10.1007/s00371-004-0271-1 Zobrazit plný text záznamu Full text from SpringerLink