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• W2112818869 abstract "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 two-dimensional 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 unknown partially-transmissive occluders. The prototype and results provide promising directions for non-scanning, low-complexity range acquisition devices for various computer vision applications." @default.
• W2112818869 created "2016-06-24" @default.
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• W2112818869 date "2012-06-01" @default.
• W2112818869 modified "2023-09-24" @default.
• W2112818869 title "Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity" @default.
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• W2112818869 doi "https://doi.org/10.1109/cvpr.2012.6247663" @default.
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