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Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research

Cover Image Copyright Year: 2013
Author(s): Yu, J.; Tao, D.
Publisher: Wiley-IEEE Press
Content Type : Books & eBooks
Topics: Communication, Networking & Broadcasting ;  Components, Circuits, Devices & Systems ;  Computing & Processing (Hardware/Software)
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Abstract

Helps readers learn the latest machine learning techniques and presents their applications in cartoon animation researchMachine learning techniques have been widely used in many fields including machine perception, computer vision, natural language processing, syntactic pattern recognition, and search engines. Recently, many modern techniques have been proposed in machine learning and the integration of these techniques and cartoon animation research is fast becoming a hot topic.This book helps readers learn the latest machine learning techniques, including patch alignment framework; spectral clustering, graph cuts, and convex relaxation; ensemble manifold learning; multiple kernel learning; multiview subspace learning; and multiview distance metric learning. It then presents the applications of these modern machine learning techniques in cartoon animation research. With these techniques, users can efficiently utilize the cartoon materials to generate animations in areas such as virtual reality, video games, animation films, and sport simulations.Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research covers:
Manifold, semisupervised, and multiview learning
Example-based motion reuse
Crowd and facial animation
Discriminative locality alignment
Spectral clustering and graph cut
SVM with multiple unweighted sum kernels
Hypothesis space selection
Cartoon texture and reuse systems for animation synthesis
Video clip reuse
Stroke correspondence construction via stroke
Cartoon character extraction
Skeleton feature
Cartoon clip synthesis