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Proceedings of the 27th annual conference on Computer graphics and interactive techniques
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MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
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As-rigid-as-possible shape manipulation
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Introduction to Linear Regression Analysis, Solutions Manual (Wiley Series in Probability and Statistics)
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IEEE Transactions on Visualization and Computer Graphics
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IEEE Transactions on Image Processing
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Multimedia Tools and Applications
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In this paper, we propose a novel nonparametric regression model to generate virtual humans from still images for the applications of next generation environments (NG). This model automatically synthesizes deformed shapes of characters by using kernel regression with elliptic radial basis functions (ERBFs) and locally weighted regression (LOESS). Kernel regression with ERBFs is used for representing the deformed character shapes and creating lively animated talking faces. For preserving patterns within the shapes, LOESS is applied to fit the details with local control. The results show that our method effectively simulates plausible movements for character animation, including body movement simulation, novel views synthesis, and expressive facial animation synchronized with input speech. Therefore, the proposed model is especially suitable for intelligent multimedia applications in virtual humans generation.