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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11018

Title: Depth from Encoded Sliding Projections
Authors: HERMANS, Chris
BEKAERT, Philippe
Issue Date: 2009
Citation: Bebis, G. & Boyle, R. & Parvin, B. & Koracin, D. & Kuno, Y. & Wang, J. & Pajarola, R. & Lindstrom, P. & Hinkenjann, A. & Encarnacao, M.L. & Silva, C.T. & Coming, D. (Ed.) ADVANCES IN VISUAL COMPUTING, PT 1, PROCEEDINGS. p. 843-854.
Series/Report: Lecture Notes in Computer Science, 5875
Abstract: We present a novel method for 3D shape acquisition, based on mobile structured light. Unlike classical structured light methods, in which a static projector illuminates the scene with dynamic illumination patterns, mobile structured light employs a moving projector translated at a constant velocity in the direction of the projector's horizontal axis, emitting static or dynamic illumination. For our approach, a time multiplexed mix of two signals is used: (1) a wave pattern, enabling the recovery of point-projector distances for each point observed by the camera, and (2) a 2D De Bruijn pattern, used to uniquely encode a sparse subset of projector pixels. Based on this information, retrieved on a per (camera) pixel basis, we are able to estimate a sparse reconstruction of the scene. As this sparse set of 2D-3D camera-scene correspondences is sufficient to recover the camera location and orientation within the scene, we are able to convert the dense set of point-projector distances into a dense set of camera depths, effectively providing us with a dense reconstruction of the observed scene. We have verified our technique using both synthetic and real-world data. Our experiments display the same level of robustness as previous mobile structured light methods, combined with the ability to accurately estimate dense scene structure and accurate camera/projector motion without the need for prior calibration.
Notes: [Hermans, Chris; Francken, Yannick; Cuypers, Tom; Bekaert, Philippe] Hasselt Univ, IUL, IBBT, Expertise Ctr Digital Media, Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/11018
ISI #: 000278937300078
ISBN: 978-3-642-10330-8
ISSN: 0302-9743
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2011
Appears in Collections: Research publications

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