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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10357

Title: Depth from Sliding Projections
Authors: HERMANS, Chris
FRANCKEN, Yannick
CUYPERS, Tom
BEKAERT, Philippe
Issue Date: 2009
Publisher: IEEE
Citation: CVPR: 2009 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-4. p. 1865-1872.
Abstract: In this paper we present a novel method for 3D structure acquisition, based on structured light. Unlike classical structured light methods, in which a static projector illuminates a scene with time-varying illumination patterns, our technique makes use of a moving projector emitting a static striped illumination pattern. This projector is translated at a constant velocity, in the direction of the projector’s horizontal axis. Illuminating the object in this manner allows us to perform a per pixel analysis, in which we decompose the recorded illumination sequence into a corresponding set of frequency components. The dominant frequency in this set can be directly converted into a corresponding depth value. This per pixel analysis allows us to preserve sharp edges in the depth image. Unlike classical structured light methods, the quality of our results is not limited by projector or camera resolution, but is solely dependent on the temporal sampling density of the captured image sequence. Additional benefits include a significant robustness against common problems encountered with structured light methods, such as occlusions, specular reflections, subsurface scattering, interreflections, and to a certain extent projector defocus.
Notes: [Hermans, Chris; Francken, Yannick; Cuypers, Tom; Bekaert, Philippe] Hasselt Univ, TUL, IBBT, Expertise Ctr Digital Media, Diepenbeek, Belgium. christ.hermans@uhasselt.be - yannick.francken@uhasselt.be - tom.cuypers@uhasselt.be - philippe.bekaert@uhasselt.be
URI: http://hdl.handle.net/1942/10357
ISI #: 000279038001048
ISBN: 978-1-4244-3991-1
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2011
Appears in Collections: Research publications

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