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 pr...

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Bibliographic Details
Published in:2009 IEEE Virtual Reality Conference pp. 231 - 232
Main Authors: Luo, Xun, Kenyon, Robert V.
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2009
Subjects:
Acceleration
Cameras
Computer displays
Computer vision
D.1.3 [Programming Techniques]: Concurrent Programming-Parallel Programming
Delay
Flat panel displays
H.5.2 [Information Interfaces and Presentation]: User Interfaces-Input Devices and Strategies
Image processing
Throughput
Tree data structures
Tree graphs
ISBN:9781424439430, 1424439434
ISSN:1087-8270
Online Access:Get full text
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Summary: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.
ISBN:9781424439430
1424439434
ISSN:1087-8270
DOI:10.1109/VR.2009.4811030