Computational Visualization Center University of Texas at Austin   
   
COMPUTATIONAL VISUALIZATION CENTER

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Infrastructure | Applications | Remote Visualization
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Compression of Meshes

Mesh Compression
and Progressive Transmission




Mesh Compression and Progressive Transmission

Can you distinguish these three pictures? There are all triangular surface meshes. While the first one, the orginal mesh object, requires 8,558,332 bytes storage, the next two compressed objects 1 , 2 are just of sizes 141,856 and 167,167 bytes respectively.

The requirement for dealing with digital images is increasing rapidly. On one hand, because of recent technological advances, the conversion of photographs, print text, fine scanner, and other media into digital form is easily accomplished. On the other hand, direct cquisition of digital images is also becoming more common as sensors and related electronics improve. Magnetic resonance imaging(MRI) and computed tomography(CT) produce images directly in digital form. Computer-generated images are becoming an additional source of digital data. Computer graphics has found applications in areas like advertising, entertainment and scientific visualization. Polyhedral models are the primary representation for 3D objects, which are very important for video-games, virtual reality and fly-through applications which involve complex computer aided disign models and thus need particularly ast and effective rendering, usually hardware assisted. A polyhedral model is defined as a set of vertices (geometry) and the relation between these positions (connectivity), and sometimes mixed with color, normal and texture information (photometry).

There is a common feature for both digital images and 3D objects in polyhedral models: they occupy huge chunk of space if not by some smart storage format; they limit the network throughput or may cause traffic conjestion when transmitted over current bandwidth-constrained network. So compression and encoding is a must.

Compression and Encoding of 2D Images
Compression and Encoding of Surface Meshes
General Compression and Encoding Algorithms
CCV Compression Publications





   Computational Visualization Center University of Texas at Austin