Computer Graphics Lecture Notes - Dynamic Graphics Project
Affine transformations. An important case in the previous section is applying an affin e trans-′′ ′′ ′′ ′
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Computer Graphics Lecture Notes - University of …
www.dgp.toronto.eduAffine transformations. An important case in the previous section is applying an affin e trans-′′ ′′ ′′ ′
Interaction Techniques for 3D Modeling on Large Displays
www.dgp.toronto.eduInteraction Techniques for 3D Modeling on Large Displays Tovi Grossman1,2, Ravin Balakrishnan1,2, Gordon Kurtenbach1,2, George Fitzmaurice1, ... 2D and 3D views, tape drawing as the primary curve and line creation technique, visual viewpoint markers, and continuous two-handed interaction.
Machine Learning and Data Mining Lecture Notes
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Real-Time Fluid Dynamics for Games
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Introduction to Bayesian Learning - Dynamic Graphics Project
www.dgp.toronto.edugraphics, and that Bayesian machine learning can provide powerful tools. I will attempt to address some of the common concerns of this approach, and discuss the pros and cons of Bayesian modeling, and briefly discuss the relation to non-Bayesian machine learning. I will also provide a brief tutorial on probabilistic reasoning.
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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www.dgp.toronto.eduStable Fluids Jos Stam Alias wavefront Abstract Building animation tools for fluid-like motions is an important and challenging problem with many applications in computer graphics. The use of physics-based models for fluid flow can greatly assist in creating such tools. Physical models, unlike key frame or pro-
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