Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
X3DOM: a DOM-based HTML5/X3D integration model
Proceedings of the 14th International Conference on 3D Web Technology
Bidirectional Texture Function Modeling: A State of the Art Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lossless compression of already compressed textures
Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics
Multi-sided attribute based modeling
IMA'05 Proceedings of the 11th IMA international conference on Mathematics of Surfaces
Real-time visualizations of gigapixel texture data sets using HTML5
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Proceedings of the 17th International Conference on 3D Web Technology
Simplification and streaming of GIS terrain for web clients
Proceedings of the 17th International Conference on 3D Web Technology
Visualization of 3D city models on mobile devices
Proceedings of the 17th International Conference on 3D Web Technology
WebGL-based streaming and presentation framework for bidirectional texture functions
VAST'11 Proceedings of the 12th International conference on Virtual Reality, Archaeology and Cultural Heritage
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We propose an architecture for lightweight visualization of high-quality 3D objects based on data compression, data streaming, virtual texturing and WebGL. Our method retains visual fidelity of the original scene, improves loading time and maintains real-time rendering speed. We assume that the user is restricted to low-performance GPUs and slow Internet connections (1 megabit per second or lower). For geometry compression, we use entropy-encoding techniques that achieve up to 95% storage savings. Textures are stored as sets of tiles which feeds the virtual texturing engine. With use of the Crunch library, tiles are compressed with results similar to JPEG but with much faster transcoding to DXT on the GPU. The initial 27.7MB dataset takes an average of 5 minutes to load. Our approach, takes less than 5 seconds on average. A wide range of applications benefit from our architecture such as e-commerce, cultural heritage, virtual worlds, videogames, and scientific visualization, among others.