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Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity

7 years 9 months ago
Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity
Active range acquisition systems such as light detection and ranging (LIDAR) and time-of-flight (TOF) cameras achieve high depth resolution but suffer from poor spatial resolution. In this paper we introduce a new range acquisition architecture that does not rely on scene raster scanning as in LIDAR or on a twodimensional array of sensors as used in TOF cameras. Instead, we achieve spatial resolution through patterned sensing of the scene using a digital micromirror device (DMD) array. Our depth map reconstruction uses parametric signal modeling to recover the set of distinct depth ranges present in the scene. Then, using a convex program that exploits the sparsity of the Laplacian of the depth map, we recover the spatial content at the estimated depth ranges. In our experiments we acquired 64×64-pixel depth maps of fronto-parallel scenes at ranges up to 2.1 m using a pulsed laser, a DMD array and a single photon-counting detector. We also demonstrated imaging in the presence of unk...
Andrea Colaco, Ahmed Kirmani, Gregory A. Howland,
Added 28 Sep 2012
Updated 28 Sep 2012
Type Journal
Year 2012
Where CVPR
Authors Andrea Colaco, Ahmed Kirmani, Gregory A. Howland, John C. Howell, Vivek K. Goyal
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