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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

info:eu-repo/grantAgreement/EC/FP7/288273/EU/Persistent Autonomy through Learning, Adaptation, Observation and Re-planning/PANDORA

Elsevier

Director: Ministerio de Ciencia e Innovación (Espanya)
Autor: Fernández Navarro, Sergio
Salvi, Joaquim
Data: 2013
Resum: 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
Accés al document: http://hdl.handle.net/10256/8644
Llenguatge: eng
Editor: Elsevier
Col·lecció: info:eu-repo/semantics/altIdentifier/doi/10.1016/j.optcom.2012.10.042
info:eu-repo/semantics/altIdentifier/issn/0030-4018
info:eu-repo/grantAgreement/MICINN//CTM2011-29691-C02-02/ES/ROBOT AUTONOMO SUBMARINO PARA LA INSPECCION Y MONITORIZACION DE EXPLOTACIONES DE ACUICULTURA MARINA/
És part de: info:eu-repo/grantAgreement/EC/FP7/288273/EU/Persistent Autonomy through Learning, Adaptation, Observation and Re-planning/PANDORA
Drets: Tots els drets reservats
Matèria: 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
Títol: One-shot absolute pattern for dense reconstruction using DeBruijn coding and Windowed Fourier Transform
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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