Depth sensing using active coherent illumination

We examine the use of active coherent sensing-an increasingly available technology-for sensing the depth of scenes. A scene is a sparse signal but also exhibits significant structure which cannot be exploited using standard sparse recovery algorithms. Instead, inspired by the model-based compressive...

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Bibliographic Details
Main Author: Boufounos, P. T.
Format: Conference Proceeding
Language:English
Subjects:
array processing
Arrays
Compressed sensing
compressive sensing
Computational modeling
Depth sensing
Receivers
Sensors
signal model
Transmitters
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Summary:We examine the use of active coherent sensing-an increasingly available technology-for sensing the depth of scenes. A scene is a sparse signal but also exhibits significant structure which cannot be exploited using standard sparse recovery algorithms. Instead, inspired by the model-based compressive sensing literature we develop a scene model that incorporates occlusion constraints in recovering the depth map. Our model is computationally tractable; we develop a variation of the well-known model-based Compressive Sampling Matching Pursuit (CoSaMP) algorithm, and we demonstrate that our approach significantly improves reconstruction performance.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2012.6289146