Remote visualization for 3D dynamic scene based on image space

Zhiqiang Ma, Lili Wang, Xinwei Zhang, Wei Ke, Qinping Zhao

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


In remote visualization for complex 3D dynamic scene, compression and transmission for vertex trajectory needs computing huge vertex and has very slow computational speed. In order to solve these problems, we present a remote visualization method for 3D dynamic scene based on image space, which replaces vertex trajectory with sample trajectory to reduce the vertex number in computation and presents a parallel compression method to realize rapid and effect compression for dynamic datasets. First, adaptive sampling algorithm in space and time (time after space) using graphics pipeline and the construction of samples connective information is presented to obtain many animated depth images. Then, the trajectory of samples is compressed in parallel in each animated depth image, which reduces compression time effectively. Finally, compressed dynamic datasets are transferred to the client and 3D dynamic scene over some time is reconstructed. Reconstructed 3D dynamic scene during some time supplies the client with observation in arbitrary angles and has little decline in rendering quality. Exprement results also show that the algorithms realize rapid compression and reduce the number of dynamic datasets greatly, which reduce network latency limitation effectively.

Original languageEnglish
Pages (from-to)2559-2572
Number of pages14
JournalJisuanji Yanjiu yu Fazhan/Computer Research and Development
Issue number11
Publication statusPublished - 1 Nov 2014


  • Adaptive sampling
  • Dynamic data compression
  • Image space
  • Remote visualization
  • Time-varying datasets


Dive into the research topics of 'Remote visualization for 3D dynamic scene based on image space'. Together they form a unique fingerprint.

Cite this