Introduction to Bayesian Learning
Mixtures-of-Gaussians (MoG) model to motion capture data, one is fitting a structured model to observed data. It should be noted that the MoG model is a direct generalization of vector quantization, which is already widely used in graphics. Similarly, one may think of a Hidden Markov Model (HMM) as a probabilistic
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The Fundamental Principles of Animation
www.dgp.toronto.edudownward motion more and more rapidly (Ease Out), until it hits the ground. Note that this doesn’t mean slow movement. This really means keep the in between frames close to each extreme. 3. Arcs In the real world almost all action moves in an arc. When creating animation one should try to have motion follow curved paths rather than linear ones.
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Machine Learning and Data Mining Lecture Notes
www.dgp.toronto.eduCSC 411 / CSC D11 Acknowledgements Conventions and Notation Scalars are written with lower-case italics, e.g.,x. Column-vectors are written in bold, lower-case: x, and matrices are written in bold uppercase: B. The set of real numbers is represented by R; N-dimensional Euclidean space is writtenRN. Aside:
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Computer Graphics Lecture Notes
www.dgp.toronto.eduThe convention in these notes will follow that of OpenGL, placing the origin in the lower left corner, with that pixel being at location (0,0). Be aware that placing the origin in the upper left is another common convention. One of 2N intensities or colors are associated with each pixel, where N is the number of bits per pixel.
Real-Time Fluid Dynamics for Games
www.dgp.toronto.eduIn this paper we present a simple and rapid implementation of a fluid dynamics solver for game engines. Our tools can greatly enhance games by providing realistic fluid-like effects such as swirling smoke past a moving character. The potential applications are endless. Our algorithms
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