Lawrence Ibarria

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Dynapack exploits space-time coherence to compress the consecutive frames of the 3D animations of triangle meshes of constant connectivity. Instead of compressing each frame independently (space-only compression) or compressing the trajectory of each vertex independently (time-only compression), we predict the position of each vertex <b>v</b> of frame(More)
We present a simple method for compressing very large and regularly sampled scalar fields. Our method is particularly attractive when the entire data set does not fit in memory and when the sampling rate is high relative to the feature size of the scalar field in all dimensions. Although we report results for R 3 and R 4 data sets, the proposed approach may(More)
nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or(More)
Figure 1: The top 3D frames were taken from the Chicken Crossing animation (produced at Microsoft, courtesy of Jed Lengyel) contains 400 frames of the same connectivity, each having 41 components with a total of 5664 triangles and 3030 vertices. Dynapack quantizes the floating point coordinates of the vertices to 13 (respectively 11, and 7) bits, shown in(More)
We present a simple method for compressing very large and regularly sampled scalar £elds. Our method is particularly attractive when the entire data set does not £t in memory and when the sampling rate is high relative to the feature size of the scalar £eld in all dimensions. Although we report results for R 3 and R 4 data sets, the proposed approach may be(More)
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