Decentering distortion of lenses

By Dean Brown. 1966

Subfields: Numerical Methods & Scientific Computing, Signal Processing

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Citations in the corpus

ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes (2021, methodology): “We removed the distortion [8] using the OpenCV [6] library to compensate for the fish-eye effect caused by the proximity of the cameras to the conveyor belt.”
Accuracy of fish-eye lens models. (2010, methodology): “Brown [1] described radial distortion using an odd-order polynomial model, and Tsai [2] provided one of the seminal works in modern camera calibration using this model.”
Simultaneous linear estimation of multiple view geometry and lens distortion (2001, methodology): “True lens distortion curves are typically very complex, and systems which deal carefully with nonlinear distortion [2, 19] use high-order models or lookup tables to calibrate their cameras.”
Parameter-Free Radial Distortion Correction with Center of Distortion Estimation (2005, background): “Although this problem was widely studied by photogrammetrists striving for extreme accuracy, it has been largely ignored in the extensive literature on structure and motion of the past decade or so.”
Intel RealSense Stereoscopic Depth Cameras (2017, methodology): “Currently, the R200 family of cameras uses a rectilinear, modified Brown-Conrady [1] model for all cameras.”
OpenMVG: Open Multiple View Geometry (2016, unknown): “Brown-Conrady) [29,30], and fish-eye [32].”
Canadian Adverse Driving Conditions dataset (2020, methodology): “We provide the distortion coefficients for the BrownConrady or “Plumb Bob” distortion model [11].”