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Titlebook: Next Generation Computer Animation Techniques; Third International Jian Chang,Jian Jun Zhang,Wencheng Wang Conference proceedings 2017 Spr

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An Efficient Learning-Based Bilateral Texture Filter for Structure Preserving information. However, it is difficult to separate edges from textures since they are tough to be differentiated by computers. In this paper, we provide a novel learning-based bilateral filter to effectively remove textures from the image. Firstly, edge features are extracted as the guidance image t
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A Novel Multi-touch Approach for 3D Object Free Manipulationcs and astronomy, fluid data in aerography, and structured data in medical science. Current researches show that large multi-touch interactive displays serve as a promising device providing numerous significant advantages for displaying and manipulating scientific data. Those benefits of direct-touc
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Sunken Relief Generation from a Single Imagenken relief generation algorithm based on a single image. Our method starts from a single image. First, we smoothen the image with morphological operations such as opening and closing operations and extract the feature lines by comparing the values of adjacent pixels. Then we apply unsharp masking t
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Prototype of Intelligent Data Management System for Computer Animation (iMCA)own as an increasingly data-intensive process. There are obvious gaps between the animation production needs and research development, which call for novel design and new technology to tackle the emerging challenge of handling huge amounts of data. “iMCA” is designed to develop intelligent data mana
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A VR-Based Crane Training System for Railway Accident Rescuest sites considering the costs and human safety. A VR-based crane training system for railway accident rescues is proposed in this paper. The training system reconstructs the railway accident scenes by integrating geographical environments, head-on collision scenarios between two high-speed trains an
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978-3-319-69486-3Springer International Publishing AG 2017
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Next Generation Computer Animation Techniques978-3-319-69487-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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