TY - GEN
T1 - A digital processing architecture for 3D reconstruction
AU - Kolar, A.
AU - Graba, T.
AU - Pinna, A.
AU - Romain, O.
AU - Granado, B.
AU - Ea, T.
PY - 2006/12/1
Y1 - 2006/12/1
N2 - Many systems and data processing for 3D vision have been designed but few have targeted real-time embedded systems. We present in this article Cyclope, an original real-time embedded multi-spectral 3D vision sensor. For this, we have developed a new digital, processing architecture to reconstruct the 3D information from images. This architecture conforms to embedded system constrains as power dissipation and limited resources. It's a massively-parallel architecture in a totaly scalable IP to assure the compatibility with several processing schemes. This architecture has been implemented on a FPGA target and we have obtained accurate results while ensuring realtime operations.
AB - Many systems and data processing for 3D vision have been designed but few have targeted real-time embedded systems. We present in this article Cyclope, an original real-time embedded multi-spectral 3D vision sensor. For this, we have developed a new digital, processing architecture to reconstruct the 3D information from images. This architecture conforms to embedded system constrains as power dissipation and limited resources. It's a massively-parallel architecture in a totaly scalable IP to assure the compatibility with several processing schemes. This architecture has been implemented on a FPGA target and we have obtained accurate results while ensuring realtime operations.
U2 - 10.1109/CAMP.2007.4350375
DO - 10.1109/CAMP.2007.4350375
M3 - Conference contribution
AN - SCOPUS:46849107518
SN - 1424406862
SN - 9781424406869
T3 - CAMPS 2006 - International Workshop on Computer Architecture for Machine Perception and Sensing, Conference Proceedings
SP - 172
EP - 176
BT - CAMPS 2006 - International Workshop on Computer Architecture for Machine Perception and Sensing, Conference Proceedings
T2 - CAMPS 2006 - International Workshop on Computer Architecture for Machine Perception and Sensing
Y2 - 18 August 2006 through 20 August 2006
ER -