PDF-PhysicsBased NURBS Swung Surfaces Hong Qin and Demetri Terzopoulos Department of Computer PDF document

The new model is based upon swung NURBS surfaces and it inherits their desirable crosssectional design properties It melds these geometric features with the demonstrated

Upload by pamella-moone
Published on 2014-10-14

Presentation Embed Code

<iframe width="560" height="315" src="https://www.docslides.com/embed/4571" frameborder="0" allowfullscreen></iframe>

Download Presentation

Download Presentation The PPT/PDF document "PhysicsBased NURBS Swung Surfaces Hong Q..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

PhysicsBased NURBS Swung Surfaces Hong Qin and Demetri Terzopoulos Department of Computer: Transcript

PDF-PhysicsBased NURBS Swung Surfaces Hong Qin and Demetri Terzopoulos Department of Computer PDF document

Presentation Embed Code

Download Presentation

PhysicsBased NURBS Swung Surfaces Hong Qin and Demetri Terzopoulos Department of Computer: Transcript

Related Contents

Fisher Linear Discriminant Analysis Max Welling Department of Computer Science University

Learning Generative Models with Visual Attention Yichuan Tang Nitish Srivastava Ruslan

Semantic Hashing Ruslan Salakhutdinov Department of Computer Science University of Toronto

Learning Stochastic Feedforward Neural Networks Yichuan Tang Department of Computer Science

Higherorder Autoregressive Models for Dynamic Textures Midori Hyndman Allan Jepson David

Generating Text with Recurrent Neural Networks Ilya Sutskever ILYA CS UTORONTO CA James

Probabilistic Matrix Factorization Ruslan Salakhutdinov and Andriy Mnih epartment of Computer

Deep learning via Hessianfree optimization James Martens JMARTENS CS TORONTO EDU University

Deep learning via Hessianfree optimization James Martens JMARTENS CS TORONTO EDU University

Artistically Based Computer Generation of Expressive Motion Michael Neff Department of

Neighbourhood Components Analysis Jacob Goldberger Sam Roweis Geoff Hinton Ruslan Salakhutdinov

Adversarial Queuing Theory ALLAN BORODIN University of Toronto Toronto Ontario Canada

CognitiveControlandLexicalAccessinYoungerandOlderBilingualsEllenBialys

CSC458/2209 - Computer Networks, University of Toronto