Imaging in scattering media using correlation image sensors and sparse convolutional coding

Heide, Felix; Xiao, Lei; Kolb, Andreas; Hullin, Matthias B.; Heidrich, Wolfgang

doi:10.1364/oe.22.026338

Cited by 102 publications

(60 citation statements)

References 25 publications

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“…An important additional parameter of our method is the quality of the ellipsoids' tessellation [Eq. (6)]. This determines the number of triangles used to represent the ellipsoid during the voxelization, and has an impact in both the cost and the quality of the reconstruction.…”

Section: Discussionmentioning

confidence: 99%

“…Geometry reconstruction techniques have significantly benefited from this, but in the last years the applicability of time-resolved imaging has gone beyond directly visible geometry, to include non-line of sight (NLOS) imaging [3]. This technique allows reconstructing occluded objects by analyzing multiple-scattered light, even in the presence of turbid media [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Fast back-projection for non-line of sight reconstruction

2017

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Recent works have demonstrated non-line of sight (NLOS) reconstruction by using the time-resolved signal from multiply scattered light. These works combine ultrafast imaging systems with computation, which back-projects the recorded space-time signal to build a probabilistic map of the hidden geometry. Unfortunately, this computation is slow, becoming a bottleneck as the imaging technology improves. In this work, we propose a new back-projection technique for NLOS reconstruction, which is up to a thousand times faster than previous work, with almost no quality loss. We base on the observation that the hidden geometry probability map can be built as the intersection of the three-bounce space-time manifolds defined by the light illuminating the hidden geometry and the visible point receiving the scattered light from such hidden geometry. This allows us to pose the reconstruction of the hidden geometry as the voxelization of these space-time manifolds, which has lower theoretic complexity and is easily implementable in the GPU. We demonstrate the efficiency and quality of our technique compared against previous methods in both captured and synthetic data.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast back-projection for non-line of sight reconstruction

2017

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“…Time-of-flight (ToF) imaging based optical metrology has grown significantly in recent years [1][2][3][4][5][6][7][8][9][10]. As the capability of ToF cameras continues to improve more advanced range imaging modalities become increasingly feasible, promising better measurement.…”

Section: Introductionmentioning

confidence: 99%

“…This technique is known as homodyne amplitude modulated continuous wave (AMCW) ToF range imaging [1]. A key improvement of AMCW ToF range cameras in recent years has been the modulation bandwidth from 20 MHz up to 150 MHz [3,4]. This increase in bandwidth opens the door to new multi-frequency operating modes, including techniques previously restricted to other hardware, that enhance the operation of ToF camera systems.…”

Section: Introductionmentioning

confidence: 99%

“…Droeschel et al [16] also employed multi-frequency operation of AMCW to perform phase unwrapping. Most recently the computational imaging community has progressed the concept of multifrequency ToF, acquiring range data from tens to as many as one-hundred or more frequencies and employing sparse deconvolution to separate multiple returns [17], perform transient imaging [18] (using hundreds of frequencies) and imaging objects in scattering media [3]. Dorrington et al [19] used two modulation frequencies, one double the other, to resolve two propagation paths.…”

Section: Introductionmentioning

confidence: 99%

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