14 November 2007 Remote visualization for large terrain surfaces based on parallel streaming pipeline architecture
Author Affiliations +
Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67892D (2007) https://doi.org/10.1117/12.749967
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Datasets of tens of gigabytes are becoming common in computational and experimental science. Providing remote visualization of these large datasets with adequate levels of quality and interactivity is an extremely challenging task, particularly for scientists who collaborate in widely distributed locations and their primary access to visualization resources is a desktop computer. This paper describes a remote visualization system for large-scale terrain rendering based on parallel streaming pipeline architecture. The visualization pipeline is divided in a client-server paradigm to take advantage of the powerful computing and storage resources on the dedicated computers. The two key components of this framework are: view-dependent simplification of the terrain mesh; and a scheme for delivering a minimally necessary subset of triangle strips to any user requesting an interactive visualization session. To verify the effectiveness of proposed schemes and data structures, the prototype system was implemented on China next-generation Internet backbone. Approximate 60GB size image resources for flight simulation were stored centrally in Wuhan, whereas scientists geographically dispersed in Beijing and Shanghai could manipulate and visualize these large 3D datasets in an efficient and flexible way, furthermore, the need for data replication to local desktops was eliminated.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chun Hu, Jinwen Tian, Delie Ming, Dajiang Shen, "Remote visualization for large terrain surfaces based on parallel streaming pipeline architecture", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67892D (14 November 2007); doi: 10.1117/12.749967; https://doi.org/10.1117/12.749967
PROCEEDINGS
7 PAGES


SHARE
RELATED CONTENT

Similarity judgments serving eyewitness identification
Proceedings of SPIE (September 01 1995)
Visualization tool for the scientist/engineer
Proceedings of SPIE (August 01 1990)
Visual data mining
Proceedings of SPIE (October 25 2004)

Back to Top