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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10310

Title: Capturing Multiple Illumination Conditions using Time and Color Multiplexing
Authors: DE DECKER, Bert
Kautz, J.
BEKAERT, Philippe
Issue Date: 2009
Publisher: IEEE
Citation: Computer Vision and Pattern Recognition (CVPR 2009), p. 2536-2543
Series/Report: IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops, 26
Abstract: Many vision and graphics problems such as relighting, structured light scanning and photometric stereo, need images of a scene under a number of different illumination conditions. It is typically assumed that the scene is static. To extend such methods to dynamic scenes, dense optical flow can be used to register adjacent frames. This registration becomes inaccurate if the frame rate is too low with respect to the degree of movement in the scenes. We present a general method that extends time multiplexing with color multiplexing in order to better handle dynamic scenes. Our method allows for packing more illumination information into a single frame, thereby reducing the number of required frames over which optical flow must be computed. Moreover, color-multiplexed frames lend themselves better to reliably computing optical flow. We show that our method produces better results compared to time-multiplexing alone. We demonstrate its application to relighting, structured light scanning and photometric stereo in dynamic scenes.
Notes: De Decker, B, Hasselt Univ, Diepenbeek, Belgium - bert.dedecker@uhasselt.be, j.kautz@cs.ucl.ac.uk, tom.mertens@uhasselt.be, philippe.bekaert@uhasselt.be
URI: http://hdl.handle.net/1942/10310
ISI #: 000279038001133
ISBN: 978-1-4244-3991-1
ISSN: 1063-6919
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2011
Appears in Collections: Research publications

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