vLOD: High-Fidelity Walkthroughs of Large Virtual Environments

People: Jatin Chhugani, Budirijanto Purnomo, Shankar Krishnan, Jonathan D. Cohen, Suresh Venakatasubramanian, David Johnson, and Subodh Kumar.
Description: We present visibility computation and data organization algorithms that enable high-fidelity walkthroughs of large 3D geometric datasets. A novel feature of our walkthrough system is that it performs work propotional only to the required detail in visible geometry at the rendering time. To accomplish this, we use a pre-computation phase that efficiently generates per-cell vLOD: the geometry visible from a view-region at the right level of detail. We encode changes between neighboring cells' vLODs, which are not required to be memory resident. At the rendering time, we incrementally construct the vLOD for the current view-cell and render it. We have a small CPU and memory requirement for rendering and are able to display models with tens of million polygons at interactive frame rates with less than one pixel screen-space deviation and accurate visibility.
Papers/TechReports: vLOD: High-Fidelity Walkthroughs of Large Virtual Environments
Jatin Chhugani, Budirijanto Purnomo, Shankar Krishnan, Jonathan D.Cohen, Suresh Venkatasubramanian, David Johnson, and Subodh Kumar
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For more information,  Jonathan Cohen (cohen@cs.jhu.edu , Michael Kazhdan (misha@cs.jhu.edu)  Faculty
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