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Coded aperture compressive 3-D LIDAR
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
doi:10.1109/icassp.2015.7178153
dblp:conf/icassp/KadambiB15
fatcat:vopk36khbnb73lmhio42zz34ha