View-dependent refinement of progressive meshes
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
View-dependent simplification of arbitrary polygonal environments
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
MAPS: multiresolution adaptive parameterization of surfaces
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Progressive forest split compression
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Progressive geometry compression
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Perceptually Optimized 3D Graphics
IEEE Computer Graphics and Applications
Rate-distortion optimized compression and view-dependent transmission of 3-D normal meshes
IEEE Transactions on Circuits and Systems for Video Technology
View-dependent geometry coding of 3D scenes
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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For wireless network based graphics applications, a key challenge is how to efficiently transmit complex 3D models over bandwidth-limited wireless channels. Recently, several view-dependent 3D progressive mesh transmission schemes have been proposed, which save the transmission bandwidth through only delivering the visible portions of a mesh model. In this paper, we propose to incorporate the illumination effects into the existing view-depend progressive mesh transmission system to further improve the performance. In particular, we propose a novel distortion model, which consists of both illumination distortion and geometry distortion. We further simplify the distortion model in order to compute the rate-distortion function for each segment of a mesh model in a fast manner. Based on our proposed simplified distortion model, given the viewing and lighting parameters, we are able to optimally allocate bits among different segments in real time. Experimental results show that significant quality improvement can be achieved by taking into account the illumination effects.