Title :
CoDAC: A compressive depth acquisition camera framework
Author :
Kirmani, Ahmed ; Colaço, Andrea ; Wong, Franco N C ; Goyal, Vivek K.
Author_Institution :
Res. Lab. of Electron., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
Light detection and ranging (LIDAR) systems use time of flight (TOF) in combination with raster scanning of the scene to form depth maps, and TOF cameras instead make TOF measurements in parallel by using an array of sensors. Here we present a framework for depth map acquisition using neither raster scanning by the illumination source nor an array of sensors. Our architecture uses a spatial light modulator (SLM) to spatially pattern a temporally-modulated light source. Then, measurements from a single omnidirectional sensor provide adequate information for depth map estimation at a resolution equal that of the SLM. Proof-of-concept experiments have verified the validity of our modeling and algorithms.
Keywords :
image sensors; optical modulation; optical radar; CoDAC; LIDAR; compressive depth acquisition camera framework; depth map acquisition; light detection and ranging systems; scene raster scanning; single omnidirectional sensor; spatial light modulator; time of flight measurements; Cameras; Laser radar; Lighting; Photodetectors; Spatial resolution; LIDAR; compressed sensing; depth maps; ranging; time of flight;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6289148