Simplifying surfaces with color and texture using quadric error metrics
Proceedings of the conference on Visualization '98
Geometric compression for interactive transmission
Proceedings of the conference on Visualization '00
Compression of Large 3D Engineering Models using Automatic Discovery of Repeating Geometric Features
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Progressive out-of-core compression based on multi-level adaptive octree
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
Technologies for 3D mesh compression: A survey
Journal of Visual Communication and Image Representation
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We propose a new compression algorithm for massive models, which consist of a large number of small to medium sized connected components. It is by efficiently exploiting repetitive patterns in the input model. Compared with the similar work by finding repetitive patterns, our new algorithm is more efficient on detecting repeated components by recognizing instances repeating in various scalings. We also propose an efficient compression scheme for transformation data. As a result, it can achieve a considerably higher compression ratio.