Zobrazeno 1 - 10
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pro vyhledávání: '"Geometric modeling kernel"'
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Autor:
Sergey E. Slyadnev, Vadim Turlapov
Publikováno v:
Programming and Computer Software. 46:233-243
This paper presents a CAD model simplification procedure that consists in recognizing and suppressing blend chains of certain types. The proposed method involves Euler operators (KEV, KEF, and KFMV) developed on top of an open-source geometric modeli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e10a32d63e6068b6bcc528fdda680dd
https://doi.org/10.1134/s0361768820030081
https://doi.org/10.1134/s0361768820030081
Publikováno v:
Procedia Manufacturing. 37:348-352
With the development of computer technology, the casting process CAD system has become the main way of casting process design for process designers. Most of these systems are developed based on second development tools of commercial 3D CAD systems. D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fc32cce49c98b3cbaf213822bd68bbf
https://doi.org/10.1016/j.promfg.2019.12.058
https://doi.org/10.1016/j.promfg.2019.12.058
Publikováno v:
Computer-Aided Design. 95:40-51
Geometric iterative methods (GIM), including the progressive–iterative approximation (PIA) and the geometric interpolation/approximation method, are a class of iterative methods for fitting curves and surfaces with clear geometric meanings. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9a9ca1ea85a065e45ca61cb326beb82
https://doi.org/10.1016/j.cad.2017.10.002
https://doi.org/10.1016/j.cad.2017.10.002
Publikováno v:
Frontiers of Architectural Research, Vol 6, Iss 3, Pp 273-289 (2017)
New design tools have created a growing interest for presenting complex geometries and patterns. The need to form curved geometries of facades, without incurring high construction costs and time increases, presents one of the most complex design chal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::878525de2ec2be88fdcf0d6e6e49707a
http://www.sciencedirect.com/science/article/pii/S2095263517300237
http://www.sciencedirect.com/science/article/pii/S2095263517300237
Autor:
Sergey E. Slyadnev, Vadim Turlapov
Publikováno v:
GraphiCon'2019 Proceedings. Volume 1.
This paper presents a CAD model simplification procedure which consists of recognition and suppression of certain types of blend chains. The proposed method involves Euler operators KEV, KEF, and KFMV, which are developed on top of open-sourced geome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1538b40249b87a1b46566ea2f32080f
https://doi.org/10.30987/graphicon-2019-1-249-253
https://doi.org/10.30987/graphicon-2019-1-249-253
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 27:939-951
The data from real world usually have nonlinear geometric structure, which are often assumed to lie on or close to a low-dimensional manifold in a high-dimensional space. How to detect this nonlinear geometric structure of the data is important for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2954e3192085bab230dddcefc9537b38
https://doi.org/10.1109/tnnls.2015.2429682
https://doi.org/10.1109/tnnls.2015.2429682
Autor:
Jonathan D. Victor
Publikováno v:
Nonlinear Vision: Determination of Neural Receptive Fields, Function, and Networks ISBN: 9781351075060
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d38e25b14b471858aad337ce89069bea
https://doi.org/10.1201/9781351075060-1
https://doi.org/10.1201/9781351075060-1
Autor:
Dugan Um
Publikováno v:
Solid Modeling and Applications ISBN: 9783319745930
Solid Modeling and Applications ISBN: 9783319218212
Solid Modeling and Applications ISBN: 9783319218212
This chapter summarizes the concept of 3D modeling. In more detail, it covers coordinate transformation for translation and rotation between frames. In addition, several 3D modeling schemes are discussed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b6a3fd2ce568897ed38af71a6b48f3a
https://doi.org/10.1007/978-3-319-74594-7_3
https://doi.org/10.1007/978-3-319-74594-7_3
Autor:
Waheed U. Bajwa, Tong Wu
Publikováno v:
IEEE Transactions on Signal Processing. 63:6229-6244
Modern information processing relies on the axiom that high-dimensional data lie near low-dimensional geometric structures. This paper revisits the problem of data-driven learning of these geometric structures and puts forth two new nonlinear geometr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67bbede0e9a3b87cadf3655757058cfb
https://doi.org/10.1109/tsp.2015.2469637
https://doi.org/10.1109/tsp.2015.2469637