Applications of spatial data structures: Computer graphics, image processing, and GIS
Applications of spatial data structures: Computer graphics, image processing, and GIS
Hierarchical back-face computation
Proceedings of the eurographics workshop on Rendering techniques '96
Surfels: surface elements as rendering primitives
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
QSplat: a multiresolution point rendering system for large meshes
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Efficient high quality rendering of point sampled geometry
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
PMR: point to mesh rendering, a feature-based approach
Proceedings of the conference on Visualization '02
On Graph Partitioning, Spectral Analysis, and Digital Mesh Processing
SMI '03 Proceedings of the Shape Modeling International 2003
Statistical geometry representation for efficient transmission and rendering
ACM Transactions on Graphics (TOG)
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
A survey of point-based techniques in computer graphics
Computers and Graphics
High Quality Interactive Rendering of Massive Point Models Using Multi-way kd-Trees
PACIFIC_GRAPHICS '10 Proceedings of the 2010 18th Pacific Conference on Computer Graphics and Applications
Optimized point splatting based on a fully-balanced hierarchical structure
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
Lossless compression of 3-D point data in QSplat representation
IEEE Transactions on Multimedia
Compression of 3-D Point Visual Data Using Vector Quantization and Rate-Distortion Optimization
IEEE Transactions on Multimedia
| Hi-index | 0.00 |
Point-based scanning is commonly used for 3D data acquisition. Applications can simply adopt a point cloud representation avoiding the computational complexity of connectivity construction. Despite many state-of-the-art algorithms discussing point cloud representation and rendering, research on dynamic point cloud visualization and interaction still lacks sufficient attention. We propose a time series hierarchy for interactive rendering of dynamic point-based 3D models. The synchronization of spatio-temporal attributes in the hierarchy makes this structure novel. A balanced hierarchy together with a compact quantization encoding scheme, results in higher precision, efficient memory usage and responsive user interaction. This representation provides smooth visualization of dense dynamic point-based models, in long sequences of 3D frames, at interactive frame rates and quality rendering, which can be displayed on regular desktops or mobile devices in either single-view or multi-view mode. A prototype system is implemented to validate the feasibility of our approach.