Xun Luo
Research Subjects
Xun Luo has a total of 1 co-authors. Here are the top co-authors by number of shared publications:
- Robert V. Kenyon
University of Illinois at Chicago, Department of Computer Science
1 shared publication
Latest Publications
- 19 May 2012
- Published by Springer Nature
- p. 349-366
Social Network-Based Media Sharing in the Ubiquitous Environment: Technologies and Applications
- 19 May 2012
- Published by Springer Nature
- p. 349-366
Social Network-Based Media Sharing in the Ubiquitous Environment: Technologies and Applications
- 1 March 2009
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2009 IEEE Virtual Reality Conference
- p. 231-232
Scalable Vision-based Gesture Interaction for Cluster-driven High Resolution Display Systems
We present a coordinated ensemble of scalable computing techniques to accelerate a number of key tasks needed for vision-based gesture interaction, by using the cluster driving a large display system. A hybrid strategy that partitions the scanning task of a frame image by both region and scale is proposed. Based on this hybrid strategy, a novel data structure called a scanning tree is designed to organize the computing nodes. The level of effectiveness of the proposed solution was tested by incorporating it into a gesture interface controlling a ultra-high-resolution tiled display wall.
- 1 March 2009
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2009 IEEE Virtual Reality Conference
- p. 231-232
Scalable Vision-based Gesture Interaction for Cluster-driven High Resolution Display Systems
We present a coordinated ensemble of scalable computing techniques to accelerate a number of key tasks needed for vision-based gesture interaction, by using the cluster driving a large display system. A hybrid strategy that partitions the scanning task of a frame image by both region and scale is proposed. Based on this hybrid strategy, a novel data structure called a scanning tree is designed to organize the computing nodes. The level of effectiveness of the proposed solution was tested by incorporating it into a gesture interface controlling a ultra-high-resolution tiled display wall.