Camera calibration toolbox for matlab

By J. Bouguet. 2001

2,823 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b99e7d8237e2116f81bf65acc7ca631cb86581c5

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Citations in the corpus

Multi-view 3D Human Pose Estimation in Complex Environment (2011, methodology): “Our data is made public to facilitate benchmarking.2 Cameras were calibrated using (Bouguet 2003); this enabled the recovery of the ground plane.”
Automatic camera and range sensor calibration using a single shot (2012, methodology): “Note that this differs from previous approaches [1], [2], [3], [4] which require multiple (synchronized) images of a single calibration target presented at different orientations, as well as the number of checkerboard rows and columns as input.”
Feature Depth Observation for Image-based Visual Servoing: Theory and Experiments (2008, methodology): “Obviously, there exists a number of more sophisticated (and usually off-line) tools for solving the camera calibration problem, see, for example, Sepp et al. (2005), Strobl and Paredes (2005) and Bouguet (2007).”
A hand pose tracking benchmark from stereo matching (2017, methodology): “Camera calibration [18] is performed in advance to obtain the parameters of the cameras.”
Semantic object classes in video: A high-definition ground truth database (2009, methodology): “3B) and followed the calibration procedure of Bouguet (Bouguet, 2004).”
System Design and Control of an Apple Harvesting Robot (2020, unknown): “By using conventional calibration techniques [40], the transformation matrix between the camera frame and the base frame of the manipulator can be determined.”
SUN RGB-D: A RGB-D scene understanding benchmark suite (2015, methodology): “So we calibrate all cameras with standard calibration toolbox [5].”
Development of a UAV-LiDAR System with Application to Forest Inventory (2012, methodology): “The calibration parameters of this camera have been determined using the method outlined in Bouget [32].”
1 An End-to-End Framework for Evaluating Surface Reconstruction (2011, methodology): “As the NextEngine does not provide specifics on their CCD sensor, we take the depth image and utilize the camera calibration toolbox [Bouguet 2004] to obtain the intrinsic and extrinsic camera parameters.”
Rapid shape acquisition using color structured light and multi-pass dynamic programming (2002, methodology): “The images taken without the projected pattern are used to estimate the camera intrinsics and plane poses (see Bouguet [5]).”