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Detection of Virtual Passive Pointer
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International Journal of Image Processing (IJIP)
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Volume:  3    Issue:  2
Pages:  55-91
Publication Date:   April 2009
ISSN (Online): 1985-2304
Pages 
55 - 72
Author(s)  
Naren Vira - United States
Shaleen Vira - United States
 
Published Date   
18-05-2009 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   virtual pointer detection, image processing, screen pointing device, computer vision, modeling and simulation 
 
 
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The paper presents a methodology for detecting a virtual passive pointer. The passive pointer or device does not have any active energy source within it (as opposed to a laser pointer) and thus cannot easily be detected or identified. The modeling and simulation task is carried out by generating high resolution color images of a pointer viewing via two digital cameras with a popular three-dimensional (3D) computer graphics and animation program, Studio 3D Max by Discreet. These images are then retrieved for analysis into a Microsoft’s Visual C++ program developed based on the theory of image triangulation. The program outputs a precise coordinates of the pointer in the 3D space in addition to it’s projection on a view screen located in a large display/presentation room. The computational results of the pointer projection are compared with the known locations specified by the Studio 3D Max for different simulated configurations. High pointing accuracy is achieved: a pointer kept 30 feet away correctly hits the target location within a few inches. Thus this technology can be used in presenter-audience applications. 
 
 
 
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11 R. Maini and H. Aggrawal, “Study and Comparison of Various Image Edge Detection Techniques”, International Journal of Image Processing, Computer Science Journals, 3 (1), 1 – 12, January/ February 2009
12 A. Mohammed and S. Rusthum, “Object-Oriented Image Processing of an High Resolution Satellite Imagery with Perspectives for Urban Growth, Planning and Development”, International Journal of Image Processing, Computer Science Journals, 2 (3), 18 -28, May/ June 2008
13 P. Hiremath and J. Pujari, “Content Based Image Retrieval using Color Boosted Salient Points and Shape Features of an Image”, International Journal of Image Processing, Computer Science Journals, 2 (1), 10 – 17, January/ February 2008
 
 
 
 
 
 
 
 
Naren Vira : Colleagues
Shaleen Vira : Colleagues  
 
 
 
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