Fractal deformation method of complex evolutionary systems under parameter perturbations To create much more fractals width new type of structures.
標(biāo)簽： perturbations evolutionary deformation parameter
上傳時(shí)間： 2014-01-25
上傳用戶：zhoujunzhen
Multiphase segmentation of deformation using logarithmic priors (2007)
標(biāo)簽： segmentation deformation logarithmic Multiphase
上傳時(shí)間： 2014-03-12
上傳用戶：dsgkjgkjg
Abstract: Quartz crystals are mechanical resonators with piezoelectric properties. The piezoelectricproperties (electric potential across the crystal is proportional to mechanical deformation) allow their use
標(biāo)簽： 晶體振蕩器
上傳時(shí)間： 2013-10-17
上傳用戶：時(shí)代將軍
This paper presents an interactive technique that produces static hairstyles by generating individual hair strands of the desired shape and color, subject to the presence of gravity and collisions. A variety of hairstyles can be generated by adjusting the wisp parameters, while the deformation is solved efficiently, accounting for the effects of gravity and collisions. Wisps are generated employing statistical approaches. As for hair deformation, we propose a method which is based on physical simulation concepts but is simplified to efficiently solve the static shape of hair. On top of the statistical wisp model and the deformation solver, a constraint-based styler is proposed to model artificial features that oppose the natural flow of hair under gravity and hair elasticity, such as a hairpin. Our technique spans a wider range of human hairstyles than previously proposed methods, and the styles generated by this technique are fairly realistic.
標(biāo)簽： interactive hairstyles generating technique
上傳時(shí)間： 2013-12-20
上傳用戶：sssl
The object detector described below has been initially proposed by P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a Dalal-Triggs detector that uses a single filter on histogram of oriented gradients (HOG) features to represent an object category. This detector uses a sliding window approach, where a filter is applied at all positions and scales of an image. The first innovation is enriching the Dalal-Triggs model using a star-structured part-based model defined by a “root” filter (analogous to the Dalal-Triggs filter) plus a set of parts filters and associated deformation models. The score of one of star models at a particular position and scale within an image is the score of the root filter at the given location plus the sum over parts of the maximum, over placements of that part, of the part filter score on its location minus a deformation cost easuring the deviation of the part from its ideal location relative to the root. Both root and part filter scores are defined by the dot product between a filter (a set of weights) and a subwindow of a feature pyramid computed from the input image. Another improvement is a representation of the class of models by a mixture of star models. The score of a mixture model at a particular position and scale is the maximum over components, of the score of that component model at the given location.
標(biāo)簽： 計(jì)算機(jī)視覺
上傳時(shí)間： 2015-03-15
上傳用戶：sb_zhang
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