Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kinga Kruppa"'
Publikováno v:
Mathematics, Vol 9, Iss 8, p 843 (2021)
Minkowski Pythagorean hodograph curves are widely studied in computer-aided geometric design, and several methods exist which construct Minkowski Pythagorean hodograph (MPH) curves by interpolating Hermite data in the R2,1 Minkowski space. Extending
Externí odkaz:
https://doaj.org/article/430191dfcfd54903b4ced2e1ba2e8c7d
Publikováno v:
Graphical Models. 101:27-37
Recently there has been a growing interest in the topic of skinning of circles and spheres, since modeling based on these objects has been found useful in areas such as medical applications and character animation. Among others, an efficient method w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c919bdea274a503ea7ac9da02848f61a
https://doi.org/10.1016/j.gmod.2018.12.001
https://doi.org/10.1016/j.gmod.2018.12.001
Publikováno v:
Computer Aided Geometric Design. 31:499-509
Besides classical point based surface design, sphere based creation of characters and other surfaces has been introduced by some of the recently developed modeling tools in computer graphics. ZSpheres? by Pixologic, or Spore? by Electronic Arts are j
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::920a7e11b9f8b53fa870061127741a13
https://doi.org/10.1016/j.cagd.2014.08.003
https://doi.org/10.1016/j.cagd.2014.08.003
Autor:
Janos Toth, Kinga Kruppa, Csaba Lamfalusi, Roland Kunkli, Eniko Hajdune Pocsai, Balint L. Balint, Andras Hajdu, David Girus
Publikováno v:
2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom).
Scalable visualization of big data is highly desired in several fields. A demonstrative example is annotated genetic data, where the DNA sequence can be better visualized using space-filling fractal curves. Though such approaches are already availabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::147b2bd597dd41ceceb0149eb3d8f0e5
https://doi.org/10.1109/coginfocom.2013.6719283
https://doi.org/10.1109/coginfocom.2013.6719283