1 / 1

9th International Fall Workshop VISION, MODELING, AND VISUALIZATION 2004

Thomas Lewiner. Luiz Velho. Hélio Lopes. Vinícius Mello. PUC-Rio de Janeiro INRIA - Sophia Antipolis. IMPA - Rio de Janeiro. PUC-Rio de Janeiro. IMPA - Rio de Janeiro. Simplicial Isosurface Compression. Regular Binary Multi-Triangulation. Base Level Compression.

aurek
Download Presentation

9th International Fall Workshop VISION, MODELING, AND VISUALIZATION 2004

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Thomas Lewiner Luiz Velho Hélio Lopes Vinícius Mello PUC-Rio de JaneiroINRIA - Sophia Antipolis IMPA - Rio de Janeiro PUC-Rio de Janeiro IMPA - Rio de Janeiro Simplicial Isosurface Compression Regular Binary Multi-Triangulation Base Level Compression Encoding only the tubularneighbourhood : Uniform neighbourhood compression Stellar Operations : Vertex signs: - - + + + + + + - - - - + + - + (2 known vertices) - + - Location: level 4,up, Left, Right, L, R. First triangle: - - + Traversal along the tubularneighbourhood : Adaptive neighbourhood compression Vertex levels and signs > - = - < = + > - > + > - = - < + Vertex levels and signs > - = (known) = + > - > + > - = - < + Location: level 5,down, L R L L L. First triangle: - + + Loc: 5, down, L L L L L. First: - + + Regular Base Data Irregular Base Data Topology Control Progressive Refinements Adaptive neighbourhood compression Topology Characterization : Tubularneighbourhood extensions: Original Image Decodingrefinementsof the RBMT Multi-component using decoded information No Control Decoding of the signs of the new close vertices. Final geometry encoding with prediction Original Model No Control Topology Control Topology Control Distortion Control Results Arithmetic encoding with context and prediction : Distortion Approximation : No Control Original Image No Control Original Model Adaptive Refinements with geometry Curvature Control Distortion Control Uniform Refinements Distortion Control 9th International Fall Workshop VISION, MODELING, AND VISUALIZATION 2004 November 16 - 18, 2004Stanford (California), USA

More Related