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» A Computational Model of Multidimensional Shape
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IJCNN
2006
IEEE
14 years 1 months ago
Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method
— Neuronal morphology plays a crucial role in the information processing capabilities of neurons. Despite the importance of morphology for neural functionality, biological data i...
Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma
TOG
2008
145views more  TOG 2008»
13 years 7 months ago
Feedback control of cumuliform cloud formation based on computational fluid dynamics
Clouds play an important role for creating realistic images of outdoor scenes. In order to generate realistic clouds, many methods have been developed for modeling and animating c...
Yoshinori Dobashi, Katsutoshi Kusumoto, Tomoyuki N...
ICIAP
2001
Springer
14 years 7 months ago
2D Shape Recognition by Hidden Markov Models
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
Manuele Bicego, Vittorio Murino
ECCV
2006
Springer
14 years 9 months ago
Example Based Non-rigid Shape Detection
Since it is hard to handcraft the prior knowledge in a shape detection framework, machine learning methods are preferred to exploit the expert annotation of the target shape in a d...
Yefeng Zheng, Xiang Sean Zhou, Bogdan Georgescu, S...
CCGRID
2006
IEEE
14 years 1 months ago
Interactive Grid-based Free-Form Shape Modeling
— Geometric shape modeling becomes increasingly complex and resource-demanding task. In this paper we propose a method to leverage the power of Grid to provide users with high-pr...
Anthony S. K. Chong, Konstantin Levinski, Alexei S...