I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
Progressive compression for lossless transmission of triangle meshes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Progressive lossless compression of arbitrary simplicial complexes
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Piecewise regular meshes: construction and compression
Graphical Models - Special issue: Processing on large polygonal meshes
Comparing Simplification and Image-Based Techniques for 3D Client-Server Rendering Systems
IEEE Transactions on Visualization and Computer Graphics
Efficient Implementation of Real-Time View-Dependent Multiresolution Meshing
IEEE Transactions on Visualization and Computer Graphics
Technologies for 3D mesh compression: A survey
Journal of Visual Communication and Image Representation
Real-Time Network Streaming of Dynamic 3D Content with In-frame and Inter-frame Compression
DS-RT '11 Proceedings of the 2011 IEEE/ACM 15th International Symposium on Distributed Simulation and Real Time Applications
Triangle mesh compression along the Hamiltonian cycle
The Visual Computer: International Journal of Computer Graphics
On efficient 3D data dissemination
Wireless Networks
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An ideal triangle mesh compression technology would simultaneously support the following three objectives: (1) progressive refinements of the received mesh during decompression, (2) nearly optimal compression ratios for both geometry and connectivity, and (3) in-line, real-time decompression algorithms for hardware or software implementations. Because these three objectives impose contradictory constraints, previously reported efforts focus primarily on one - sometimes two - of these objectives. The SQUEEZE technique introduced here addresses all three constraints simultaneously, and attempts to provide the best possible compromise. For a mesh of T triangles, SQUEEZE compresses the connectivity to 3.7T bits, which is competitive with the best progressive compression techniques reported so far. The geometry prediction error encoding technique introduced here leads to 20% improved geometry compression over previous schemes. Our initial implementation on a 300 Mhz CPU achieves a decompression rate of up to 46'000 triangles per second. SQUEEZE downloads a model through a number of successive refinement stages, providing the benefit of progressivity.