2017
DOI: 10.1109/tpami.2016.2567379
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Bayesian Time-of-Flight for Realtime Shape, Illumination and Albedo

Abstract: Abstract-We propose a computational model for shape, illumination and albedo inference in a pulsed time-of-flight (TOF) camera. In contrast to TOF cameras based on phase modulation, our camera enables general exposure profiles. This results in added flexibility and requires novel computational approaches. To address this challenge we propose a generative probabilistic model that accurately relates latent imaging conditions to observed camera responses. While principled, realtime inference in the model turns ou… Show more

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Cited by 36 publications
(32 citation statements)
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References 67 publications
(117 reference statements)
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“…These approaches require perfect knowledge of the integration and pulse profiles, which is impractical due to drift, and they provide low precision for broad gating windows in real-time capture settings. Adam et al [2], and Schober et al [50], present Bayesian methods for pulsed time-offlight imaging of room-sized scenes. These methods solve probabilistic per-pixel estimation problems using priors on depth, reflectivity and ambient light, which is possible when using nanosecond exposure profiles [2,50] for room-sized scenes.…”
Section: Sparse Depth Completionmentioning
confidence: 99%
“…These approaches require perfect knowledge of the integration and pulse profiles, which is impractical due to drift, and they provide low precision for broad gating windows in real-time capture settings. Adam et al [2], and Schober et al [50], present Bayesian methods for pulsed time-offlight imaging of room-sized scenes. These methods solve probabilistic per-pixel estimation problems using priors on depth, reflectivity and ambient light, which is possible when using nanosecond exposure profiles [2,50] for room-sized scenes.…”
Section: Sparse Depth Completionmentioning
confidence: 99%
“…It is computationally intensive to even evaluate this metric numerically as it involves computing a double integral over highdimensional unknown and measurement spaces. This precludes the development of an e cient numerical or an exhaustive searchbased optimization procedure as well due to prohibitively high computational costs [Adam et al 2016]. We take a di erent approach.…”
Section: :4 • Gupta M Et Al E Ect Of Image Noise On Depth Recoverymentioning
confidence: 99%
“…Lasers and didoes such as those increasingly being used in ToF systems can emit short pulses with high peak power [Adam et al 2016;Kolb et al 2010;Tadmor et al 2014], but low average power due to energy consumption constraints and eye safety. Such sources can closely approximate an impulse modulation function, and thus, achieve high performance.…”
Section: Modulation and Demodulation Functionsmentioning
confidence: 99%
“…The emergence of transient imaging [JMMG17] have brought an increased interest on simulating transient light transport in graphics and vision [Jar12, PBSC14, ADY*17]. Jarabo et al .…”
Section: Background and Related Workmentioning
confidence: 99%