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In the field of cloth animation, efficient and vivid simulation with deformation details especially small wrinkles has always been challenging. Animation with adaptive meshes is a typical way to improve the quality and efficiency simultaneously. Existing works mostly focus on how to model the adaptive mesh and work out the numerical solution while rarely highlight the problem of predicting deformation...
Cloth is a flexible thin material with low stretch. Although large stiffness can reduce stretch to some extent, it degrades numerical computing stability. Introducing effective constraints into the system is another common method to reduce stretch. In this paper, a novel constraint method is deduced and implemented. The bending deformation of cloth is firstly analyzed from micro-mesh view, based on...
A novel 3D CAD model retrieval method using 2D representative views is proposed for the reuse of CAD models. Initially, a set of 2D projected views is generated from multiple viewpoints which are evenly distributed on the viewing sphere of a CAD model. Then, the Apriori algorithm is employed to select the representative views from the set. The similarity between 3D models is determined by the likeness...
Road and traffic sign recognition has been of great interest for many years. This paper presents an approach to recognize Swedish road and traffic signs by using support vector machines. We focus on recognizing seven categories of traffic sign shapes and five categories of speed limit signs. Two kinds of features, binary image and Zernike moments, are used for representing the data to the SVM for...
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