Coded aperture compressive 3-D LIDAR

Achuta Kadambi, Petros T. Boufounos
2015 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Continuous improvement in optical sensing components, as well as recent advances in signal acquisition theory provide a great opportunity to reduce the cost and enhance the capabilities of depth sensing systems. In this paper we propose a new depth sensing architecture that exploits a fixed coded aperture to significantly reduce the number of sensors compared to conventional systems. We further develop a modeling and reconstruction framework, based on model-based compressed sensing, which
more » ... terizes a large variety of depth sensing systems. Our experiments demonstrate that it is possible to reduce the number of sensors by more than 85%, with negligible reduction on the sensing quality. Index Terms-3-D imaging, LIDAR, time of flight, compressed sensing, computational imaging.
doi:10.1109/icassp.2015.7178153 dblp:conf/icassp/KadambiB15 fatcat:vopk36khbnb73lmhio42zz34ha