The integration of machine learning 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 simulationsContent:
Chapter 1 Introduction (pages 1–61):
Chapter 2 Modern Machine Learning Techniques (pages 63–104):
Chapter 3 Animation Research: A Brief Introduction (pages 105–129):
Chapter 4 Animation Research: Modern Techniques (pages 131–194):