Paper Info
Title
Scalable Vision-based Gesture Interaction for Cluster-driven High Resolution Display Systems
Abstract
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.
Year
DOI
Venue
2009
10.1109/VR.2009.4811030
VR
Keywords
Field
DocType
cluster-driven high resolution display,frame image,scalable computing technique,proposed solution,key task,ultra-high-resolution tiled display wall,hybrid strategy,vision-based gesture interaction,scalable vision-based gesture interaction,gesture interface,large display system,computing node,head,graphics,tree graphs,user interface,acceleration,high resolution,bandwidth,data structure,tree data structures,gesture recognition,image processing,computer vision,throughput
Graphics,Computer vision,Data structure,Tree (graph theory),Gesture,Computer science,Tree (data structure),Image processing,Gesture recognition,Artificial intelligence,Computer hardware,Scalability
Conference
Citations 
PageRank 
References 
2
0.38
2
Authors
2
Name
Order
Citations
PageRank
Xun Luo11410.67
Robert V. Kenyon2664110.11