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Titlebook: Mathematical Progress in Expressive Image Synthesis I; Extended and Selecte Ken Anjyo Book 2014 The Editor(s) (if applicable) and The Autho

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楼主: STRI
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Decomposition and Clustering for the Visualization of Dynamical Systemstem. On the other hand, the latter algorithm, an application of the peer pressure clustering algorithm for directed graphs, decompose each recurrent components of the system into further smaller non-invariant subsets according to the similarity of the dynamical behavior.
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Feature-Based Approach for the Interactive Editing of Environmental Lighting Effects. In this chapter, we propose an intuitive system that allows the user to produce the desired shading effects. Our system allows the user to specify desired-intensities at arbitrary positions on surfaces of objects, and design both local and global shading effects intuitively.
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Generating Flow Fields Variations Using Laplacian Eigenfunctions both the frequency and spatial domains. Fluid velocity fields are represented using Laplacian eigenfunctions which ensure that the flow field is always incompressible. Using our method, the user can easily create various animations from a single dataset calculated by fluid simulation.
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2198-350X and visual perception.Collects the latest contributions by t.This book presents revised versions of the best papers selected from the symposium “Mathematical Progress in Expressive Image Synthesis” (MEIS2013) held in Fukuoka, Japan, in 2013. The topics cover various areas of computer graphics (CG),
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Probable and Improbable Faces, as a prior for facial animation editing in computer graphics, and as a model in psychological theory. In this contribution we consider the character of the multivariate normal in high dimensions, and show that these applications are not justified. While we provide limited evidence that facial prop
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Progress in Digital Sound Synthesis for Physically Based Animation (Invited Talk)of lemonade pouring into an ice-filled glass, or the ocean crashing at your feet. In this chapter I describe progress toward the sound synthesis goals by our group at Cornell, and mention some of the many remaining challenges.
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Efficient Image-Based Rendering Method Using Spherical Gaussianon image-based rendering methods have revealed that spherical Gaussian functions have several nice properties for rendering and are suited to represent all-frequency signals compactly and accurately such as complex environment lighting and highly glossy BRDFs. This chapter introduces spherical Gauss
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