DocumentCode :
3106309
Title :
Scalable Vision-based Gesture Interaction for Cluster-driven High Resolution Display Systems
Author :
Luo, Xun ; Kenyon, Robert V.
fYear :
2009
fDate :
14-18 March 2009
Firstpage :
231
Lastpage :
232
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.
Keywords :
computer displays; computer vision; gesture recognition; tree data structures; cluster-driven high resolution display systems; coordinated ensemble; data structure; gesture interface; large display system; scalable computing; scalable vision-based gesture interaction; scanning tree; ultra-high-resolution tiled display wall; Acceleration; Cameras; Computer displays; Computer vision; Delay; Flat panel displays; Image processing; Throughput; Tree data structures; Tree graphs; D.1.3 [Programming Techniques]: Concurrent Programming¿Parallel Programming; H.5.2 [Information Interfaces and Presentation]: User Interfaces¿Input Devices and Strategies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Reality Conference, 2009. VR 2009. IEEE
Conference_Location :
Lafayette, LA
ISSN :
1087-8270
Print_ISBN :
978-1-4244-3943-0
Electronic_ISBN :
1087-8270
Type :
conf
DOI :
10.1109/VR.2009.4811030
Filename :
4811030
Link To Document :
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