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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/6623

Title: Using image recognition to facilitate intuitive input
Authors: CLAES, Johan
CONINX, Karin
VANSICHEM, Gert
Issue Date: 2000
Publisher: SPIE - INT SOC OPTICAL ENGINEERING
Citation: Melker, AI (Ed.) THIRD INTERNATIONAL WORKSHOP ON NONDESTRUCTIVE TESTING AND COMPUTER SIMULATIONS IN SCIENCE AND ENGINEERING. p. 233-238.
Series/Report: PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE), 4064
Abstract: Intuitive interaction with computer systems can be enhanced by letting the user manipulate physical objects. In this paper we describe a novel input system, allowing the user to specify translations and rotations by manipulating cardboard shapes. A camera records the shapes' configuration. Some optimized image recognition algorithms, based on the Hough transform, are used to collect positional and orientational data concerning the cardboard shapes. This information is translated to manipulations on virtual objects in the application.
URI: http://hdl.handle.net/1942/6623
DOI: 10.1117/12.375432
ISI #: 000086473700031
ISBN: 0-8194-3699-2
ISSN: 0277-786X
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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