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One-shot absolute pattern for dense reconstruction using DeBruijn coding and Windowed Fourier Transform

Shape reconstruction using coded structured light (SL) is considered one of the most reliable techniques to recover object surfaces. Among SL techniques, the achievement of dense acquisition for moving scenarios constitutes an active field of research. A common solution is to project a single one-shot fringe pattern, extracting depth from the phase deviation of the imaged pattern. However, the algorithms employed to unwrap the phase are computationally slow and can fail in the presence of depth discontinuities and occlusions. In this work, a proposal for a new one-shot dense pattern that combines DeBruijn and Windowed Fourier Transform to obtain a dense, absolute, accurate and computationally fast 3D reconstruction is presented and compared with other existing techniques

This work has been partly supported by the FP7-ICT-2011-7 project PANDORA-Persistent Autonomy through Learning, Adaptation, Observation and Re-planning (Ref 288273) funded by the European Commission and the project RAIMON-Autonomous Underwater Robot for Marine Fish Farms Inspection and Monitoring (Ref CTM2011-29691-C02-02) funded by the Spanish Ministry of Science and Innovation. S. Fernandez is supported by the Spanish government scholarship FPU

© Optics Communications, 2013, vol. 291, p.70-78

Elsevier

Author: Fernández Navarro, Sergio
Salvi, Joaquim
Date: 2013
Abstract: Shape reconstruction using coded structured light (SL) is considered one of the most reliable techniques to recover object surfaces. Among SL techniques, the achievement of dense acquisition for moving scenarios constitutes an active field of research. A common solution is to project a single one-shot fringe pattern, extracting depth from the phase deviation of the imaged pattern. However, the algorithms employed to unwrap the phase are computationally slow and can fail in the presence of depth discontinuities and occlusions. In this work, a proposal for a new one-shot dense pattern that combines DeBruijn and Windowed Fourier Transform to obtain a dense, absolute, accurate and computationally fast 3D reconstruction is presented and compared with other existing techniques
This work has been partly supported by the FP7-ICT-2011-7 project PANDORA-Persistent Autonomy through Learning, Adaptation, Observation and Re-planning (Ref 288273) funded by the European Commission and the project RAIMON-Autonomous Underwater Robot for Marine Fish Farms Inspection and Monitoring (Ref CTM2011-29691-C02-02) funded by the Spanish Ministry of Science and Innovation. S. Fernandez is supported by the Spanish government scholarship FPU
Format: application/pdf
ISSN: 0030-4018
Document access: http://hdl.handle.net/10256/8644
Language: eng
Publisher: Elsevier
Collection: MICINN/PN 2012-2014/CTM2011-29691-C02-02
Reproducció digital del document publicat a: http://dx.doi.org/10.1016/j.optcom.2012.10.042
Articles publicats (D-ATC)
info:eu-repo/grantAgreement/EC/FP7/288273
Is part of: © Optics Communications, 2013, vol. 291, p.70-78
Rights: Tots els drets reservats
Subject: Llum -- Simulació per ordinador
Light -- Computer simulation
Visualització tridimensional (Informàtica)
Three-dimensional display systems
Visió per ordinador
Computer vision
Percepció de la profunditat
Depth perception
Title: One-shot absolute pattern for dense reconstruction using DeBruijn coding and Windowed Fourier Transform
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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