2014
DOI: 10.1109/jsen.2014.2309987
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Characterizations of Noise in Kinect Depth Images: A Review

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Cited by 141 publications
(104 citation statements)
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“…observable within a single frame -or Temporal -i.e. observable across multiple consecutive frames - (Mallick et al, 2014). Even if both make sense when characterizing a 3D device, in the practical application a spatial characterization allows to obtain more statistically significant results even with just one isolated 3D image.…”
Section: Spatial and Temporal Errormentioning
confidence: 99%
“…observable within a single frame -or Temporal -i.e. observable across multiple consecutive frames - (Mallick et al, 2014). Even if both make sense when characterizing a 3D device, in the practical application a spatial characterization allows to obtain more statistically significant results even with just one isolated 3D image.…”
Section: Spatial and Temporal Errormentioning
confidence: 99%
“…External thermal radiation sources can however affect a scene's recorded brightness and ambient intensity [71]. The sensor model can therefore be extended to account for different external environmental properties and constant ambient offset by following the presented calibration methods.…”
Section: Surface Property Dependent Calibrationmentioning
confidence: 99%
“…In this context, the axial component refers to the distance along the depth or Z-axis and the lateral component refers to distances orthogonal to depth along the X and Y-axes of the focal plane. A thorough compilation of independent analyses that characterize error and noise types in Kinect depth images can be found in [71]. Here, Mallick et al provide a uniform nomenclature for different error types and models, which are used for reference in this chapter.…”
Section: Introductionmentioning
confidence: 99%
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“…These pixels are usually appeared inside objects. Further information about characteristics of noise in Kinect depth images can be found in the study by Mallick et al 18 and Kim et al 19 In the next section, we present methods that can diminish or minimize these holes.…”
Section: Challenges In Capturing Phasementioning
confidence: 99%