SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Geometric compression through topological surgery
ACM Transactions on Graphics (TOG)
A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
3D Model Acquisition from Extended Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Robust Calibration and 3D Geometric Modeling From Large Collections of Uncalibrated Images
Mustererkennung 1999, 21. DAGM-Symposium
Wavelet Based 3D Compression with Fast Random Access for Very Large Volume Data
PG '99 Proceedings of the 7th Pacific Conference on Computer Graphics and Applications
Bayesian 3D Modeling from Images Using Multiple Depth Maps
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Compact encoding of 3-D voxel surfaces based on pattern code representation
IEEE Transactions on Image Processing
Automatic reconstruction of stationary 3-D objects from multiple uncalibrated camera views
IEEE Transactions on Circuits and Systems for Video Technology
Low bit-rate scalable video coding with 3-D set partitioning in hierarchical trees (3-D SPIHT)
IEEE Transactions on Circuits and Systems for Video Technology
Multi-view coding for image-based rendering using 3-D scene geometry
IEEE Transactions on Circuits and Systems for Video Technology
Predictive compression of geometry, color and normal data of 3-D mesh models
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.00 |
Colour volumetric data, which is constructed from a set of multi-view images, is capable of providing realistic immersive experience. However it is not widely applicable due to its manifold increase in bandwidth. This paper presents a novel framework to achieve scalable volumetric compression. Based on wavelet transformation, data rearrangement algorithm is proposed to compact volumetric data leading to high efficiency of transformation. The colour data is rearranged using the characteristics of human visual system. A pre-processing scheme for adaptive resolution is also proposed in this paper. The low resolution overcomes the limitation of the data transmission at low bitrates, whilst the fine resolution improves the quality of the synthesised images. Results show significant improvement of the compression performance over the traditional 3D coding. Finally, effect of using residual coding is investigated in order to show a trade off between the compression and view synthesis performance.