2007
DOI: 10.22260/isarc2007/0016
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Development of a Probabilistic Sensor Model for a 3D Imaging System

Abstract: The use of high frame-rate 3D imaging systems for construction equipment control is part of a broader research effort at the National Institute of Standards and Technology investigating innovative technologies for automated construction, performance and evaluation of 3D imaging systems, and construction object recognition and tracking. A probabilistic measurement model is desired for these imaging systems to better understand and describe the instrument performance, and to create synthetic data sets for algori… Show more

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Cited by 3 publications
(2 citation statements)
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References 8 publications
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“…Theobalt et al (2007) have proposed that super resolution methods typically used for color images produce high resolution 3D data of a scene using 3D range camera. To effectively reduce noise in the 3D spatial data acquired by range cameras, a probabilistic sensor model was proposed by Lytle (2009). The work shows, that a point cloud of a synthetic 3D image generated by the probabilistic model appears representative of the dataset that would be captured by an actual 3D range instrument.…”
Section: Introductionmentioning
confidence: 99%
“…Theobalt et al (2007) have proposed that super resolution methods typically used for color images produce high resolution 3D data of a scene using 3D range camera. To effectively reduce noise in the 3D spatial data acquired by range cameras, a probabilistic sensor model was proposed by Lytle (2009). The work shows, that a point cloud of a synthetic 3D image generated by the probabilistic model appears representative of the dataset that would be captured by an actual 3D range instrument.…”
Section: Introductionmentioning
confidence: 99%
“…The technology for the effective modeling of objects around the work environment and for automatic recognition is the first indispensable step in an automation or intelligent process [2]. It started with simple sensors and produced many results, including a vision system using a camera and a 3D modeling system using a broad-area 3D laser scanner, continuing efforts to realize better environment recognition.…”
Section: Introductionmentioning
confidence: 99%