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Multiscale Vector Volumes SIGGRAPH Asia 2012

Multiscale Vector Volumes SIGGRAPH Asia 2012. Lvdi Wang, Yizhou Yu, Kun Zhou, Baining Guo Tsinghua University, The University of Hong Kong, Zhejiang University, Microsoft Research Asia, Tsinghua University. Overview. A compact vector representation for volumetric objects with

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Multiscale Vector Volumes SIGGRAPH Asia 2012

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  1. Multiscale Vector VolumesSIGGRAPH Asia 2012 Lvdi Wang, Yizhou Yu, Kun Zhou, BainingGuo Tsinghua University, The University of Hong Kong, Zhejiang University, Microsoft Research Asia, Tsinghua University

  2. Overview A compact vector representation for volumetric objects with complex internal structures spanning a wide range of scales.

  3. Key idea Decompose a complex object into individual volumetric components with respect to its multi-scale structure, and preserve the boundary shape of each component in a resolution-independent way. This is achieved by hierarchically dividing an entire volumetric object into multiple non-overlapping regions using multiple continuous signed distance functions (SDFs).

  4. Challenge • Constructing high-quality digital models with complex volumetric property, we have to face 2 task. --how can we compactly represent volumetric structures and patterns spanning a wide range of scales --how can we represent high-frequency features in a resolution-independent way

  5. Challenge Visual artifacts: Anomalies during visual representation of e.g. digital graphics and imagery.

  6. Volumetric object should be Expressiveness: It should be able to represent volumetric objects with spatial structures spanning a wide range of scales and including complex non-manifold features. High frequency features should remain sharp during magnification. Ease of editing: It should be easy and intuitive to create novel objects and edit existing ones using this representation.

  7. Volumetric object should be Random access: To be able to provide a timely response to user interactions, fast visualization is required, which further demands efficient random access to the volumetric content. Compactness: Given the limited memory on current graphics cards, the representation should be as compact as possible.

  8. Comparison

  9. SDF tree Limitation: It can only divide a volume into two-colorable regions The bold arrows illustrate the traversal Path to evaluate the color at location Pa

  10. Content creation • Planning stage --rely on user’s knowledge to conceptually decompose the object in a hierarchical way • Creation stage --User need to create the object and assemble them together into linked SDF tree

  11. Rendering • Traverse the SDF tree to decide which region a location p belong. • Antialiasing

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