An approach based on neural networks for animation

dc.contributor.authorAhmet, Ç
dc.date.accessioned2026-08-12T17:01:16Z
dc.date.issued2004
dc.departmentFırat Üniversitesi
dc.description8th World Multi-Conference on Systemics, Cybernetics and Informatics -- JUL 18-21, 2004 -- Orlando, FL
dc.description.abstractneural network-based a new method is In this study, presented for animation. For this purpose, 2D and 3D Initial boundary curves are given as meshes are used. inputs to single layer feed forward neural network and inner points are calculated as output values of neural Inner points are used for meshing process. network. Animation is implemented by changing inner points. In 2D, triangulation process is done by meshing inner points. To compute inner points, weight values of neural networks are used. Different inner points are obtained by changing weight values. Remeshing are made by changing weights values of neural networks on the generated mesh. And so, it is examined changes with respect to animation. Some figures are given as application in 2D.
dc.description.sponsorshipInt Inst Informat & System,Amer Soc Cybernet,Acad Non Linear Sci,Univ Las Palmas Gran Canaria, Telemat Engn Dept, Concurrency & Architecture Grp,CUST, Blaise Pascal Univ, Engn Sci Inst,Cybernet & Human Knowing,Int Federat Syst Res,Int Syst Inst,Int Soc Syst Sci,Italian Soc System,Univ Nacl San Luis, Lab Res Computac Intelligence, Dept Informat,Polish Syst Soc,Slovenian Artificial Intelligence Soc,Soc Appl Syst Res,Syst Soc Poland,Ctr Syst Studies,Tunisian Sci Soc,World Org System & Cybernet,IEEE Comp Soc, Venezuela Chapter,IEEE, Venezuela Chapter,Natl Res Council Canada,Steacie Inst Mol Sci
dc.identifier.endpage186
dc.identifier.isbn980-6560-13-2
dc.identifier.startpage184
dc.identifier.urihttps://hdl.handle.net/11508/47623
dc.identifier.wosWOS:000227693100039
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherInt Inst Informatics & Systemics
dc.relation.ispartof8Th World Multi-Conference on Systemics, Cybernetics, and Informatics, Vol Xvi, Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectanimation
dc.subjectneural networks
dc.subjectmeshing
dc.titleAn approach based on neural networks for animation
dc.typeConference Object

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