Designing structurally-sound ornamental curve networks

2016 ◽  
Vol 35 (4) ◽  
pp. 1-10 ◽  
Author(s):  
Jonas Zehnder ◽  
Stelian Coros ◽  
Bernhard Thomaszewski
Keyword(s):  
2016 ◽  
Vol 35 (2) ◽  
pp. 319-330 ◽  
Author(s):  
Anne Gehre ◽  
Isaak Lim ◽  
Leif Kobbelt
Keyword(s):  

2012 ◽  
Vol 29 (5) ◽  
pp. 219-230 ◽  
Author(s):  
Thomas Hermann ◽  
Jörg Peters ◽  
Tim Strotman
Keyword(s):  

2014 ◽  
Vol 33 (7) ◽  
pp. 151-160 ◽  
Author(s):  
Péter Salvi ◽  
Tamás Várady

2011 ◽  
Vol 43 (7) ◽  
pp. 741-746 ◽  
Author(s):  
T. Hermann ◽  
J. Peters ◽  
T. Strotman

2008 ◽  
Vol 27 (2) ◽  
pp. 155-163 ◽  
Author(s):  
L. Liu ◽  
C. Bajaj ◽  
J. O. Deasy ◽  
D. A. Low ◽  
T. Ju

2014 ◽  
Vol 2 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Jisoon Park ◽  
Taewon Kim ◽  
Seung-Yeob Baek ◽  
Kunwoo Lee

Abstract Recently, along with the improvements of geometry modeling methods using sketch-based interface, there have been a lot of developments in research about generating surface model from 3D curves. However, surfacing a 3D curve network remains an ambiguous problem due to the lack of geometric information. In this paper, we propose a new algorithm for estimating the normal vectors of the 3D curves which accord closely with user intent. Bending energy is defined by utilizing RMF(Rotation-Minimizing Frame) of 3D curve, and we estimated this minimal energy frame as the one that accords design intent. The proposed algorithm is demonstrated with surface model creation of various curve networks. The algorithm of estimating geometric information in 3D curves which is proposed in this paper can be utilized to extract new information in the sketch-based modeling process. Also, a new framework of 3D modeling can be expected through the fusion between curve network and surface creating algorithm.


2005 ◽  
Vol 21 (8-10) ◽  
pp. 764-773 ◽  
Author(s):  
Tao Ju ◽  
Joe Warren ◽  
James Carson ◽  
Gregor Eichele ◽  
Christina Thaller ◽  
...  

2011 ◽  
Vol 338 ◽  
pp. 227-230
Author(s):  
Gang He ◽  
Zheng Yu Pan ◽  
Deng Lin Zhu

An optimization method based on genetic algorithm and energy method is presented to construct a fairing curve network from unconnected sectional curves. The curve’s quality is evaluated by its energy. The parameters of the intersecting points on existing curves are adopted as variable and genetic algorithm is used to optimize the energy of curve based on multi-parent crossover operator. The examples show that the interpolated surface of optimized curve network has good quality than other methods, which proves our method actually improves curve networks’ quality.


2016 ◽  
Vol 60 ◽  
pp. 1-8 ◽  
Author(s):  
Tibor Stanko ◽  
Stefanie Hahmann ◽  
Georges-Pierre Bonneau ◽  
Nathalie Saguin-Sprynski

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