'Distance field' diaporamas de présentation

Adaptively Sampled Distance Fields (ADFs) Representing Shape for Computer Graphics

Adaptively Sampled Distance Fields (ADFs) Representing Shape for Computer Graphics. Sarah F. Frisken and Ronald N. Perry Mitsubishi Electric Research Laboratories 2-28-2002. Outline. Introduction to ADFs definition, advantages, instantiations, algorithms Accuracy and Benchmarks

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Discrete Space, Voxelization and Distance Fields

579 views • 40 slides

Adaptively Sampled Distance Fields: A General Representation of Shape for Computer Graphics

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SIGGRAPH 2010

532 views • 39 slides

Distance fields for high school geometry

Distance fields for high school geometry. (work in progress). Mark Sawula Peddie School 17 Apr 10. http://gamma.cs.unc.edu/DIFI/images/HugoVolRenderWireframe.png. Outline. Context How I became interested What is a scalar field? What is a distance field? Distance fields: Points

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Feature Sensitive Surface Extraction from Volume Data

Feature Sensitive Surface Extraction from Volume Data. Leif P. Kobbelt Mario Botsch Ulrich Schwanecke Hans-Peter Seidel Computer Graphics Group, RWTH-Aachen Computer Graphics Group, MPI Saarbrucken Proc. Of ACM SIGGRAPH 2001 , page 57 66. Abstract.

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Traceback

Traceback. Pat Burke Yanos Saravanos. Agenda . Introduction Problem Definition Benchmarks and Metrics Traceback Methods Packet Marking Hash-based Conclusion References. Why Use Traceback?. General Network Monitoring Check users on FTP server Network Threats SPAM DoS

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GPU-Accelerated Surface Denoising and Morphing with LBM Scheme

GPU-Accelerated Surface Denoising and Morphing with LBM Scheme. Ye Zhao Kent State University, Ohio. Introduction. A parallel numerical scheme for shape modeling applications Local and explicit computation Easy for programming Straightforward GPU acceleration

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Boolean Operations on Surfel-Bounded Solids Using Programmable Graphics Hardware

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Interactive Volume Rendering Aurora on the GPU

Orion Sky Lawlor, Jon Genetti University of Alaska Fairbanks 2011-02-01 http://www.cs.uaf.edu/. Interactive Volume Rendering Aurora on the GPU. 8. Structure of talk: (1) What are the Aurora? (2) How do we represent Aurora on the GPU? (3) How do we render Aurora efficiently?

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A group of particles move at many different velocities

A group of particles move at many different velocities. The Quiz.

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Geometry Synthesis

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Thinning & Distance Field

Thinning & Distance Field. Advisor ? Ku-Yaw Chang Speaker ? Jhen -Yu Yang. Outline. Introduction Method Method 1 Method 2 Reference. Introduction. Thinning To produce a skeleton Iteratively removing voxels from the boundary. Introduction. Distance field Find ridge points

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Section 12: Graph Algorithms

Section 12: Graph Algorithms. Shortest Paths. Given a weighted graph, the shortest path between two vertices is the path between them whose edges have the lowest sum. Useful for: Finding cheap airline itineraries Finding fast airline itineraries Network routing. Shortest Path.

344 views • 23 slides

Summer Project Presentation

Summer Project Presentation. Presented by:Mehmet Eser Advisors : Dr. Bahram Parvin Associate Prof. George Bebis. Introduction. What is morphing ? In what areas is morphing used ? What methods are used for morphing for solid shapes?. What are Solid Shapes?. A slice from a brain MRI scan.

362 views • 22 slides

Computing 3D Geometry Directly From Range Images

Computing 3D Geometry Directly From Range Images. Sarah F. Frisken and Ronald N. Perry Mitsubishi Electric Research Laboratories. Geometry from Range Data A Classic Approach. Subject. Range images. Range surfaces. Final model. Volumetric Methods.

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Distance fields

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Meeting Minutes

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Adaptively Sampled Distance Fields Representing Shape for Computer Graphics

Adaptively Sampled Distance Fields Representing Shape for Computer Graphics. Ronald N. Perry and Sarah F. Frisken Mitsubishi Electric Research Laboratories 2-14-2002. Adaptively Sampled Distance Fields - ADFs.

268 views • 14 slides

Section 12: Graph Algorithms

Section 12: Graph Algorithms. Shortest Paths. Given a weighted graph, the shortest path between two vertices is the path between them whose edges have the lowest sum. Useful for: Finding cheap airline itineraries Finding fast airline itineraries Network routing

188 views • 13 slides