2011
DOI: 10.1016/j.patrec.2011.04.002
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Accurate chequerboard corner localisation for camera calibration

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Cited by 39 publications
(12 citation statements)
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“…Extraction method for image feature of the target (1)(2)(3) , calibration method for intrinsic parameters and external parameters of the camera (4,5) , calibration method for multi-camera pose relationship are the important parts of 3D image wheel alignment technology. Calibration method for multi-camera pose relationship based on binocular vision (6,7) is often researched, but calibration method for multi-camera pose relationship based on monocular vision is rarely researched.…”
Section: Introductionmentioning
confidence: 99%
“…Extraction method for image feature of the target (1)(2)(3) , calibration method for intrinsic parameters and external parameters of the camera (4,5) , calibration method for multi-camera pose relationship are the important parts of 3D image wheel alignment technology. Calibration method for multi-camera pose relationship based on binocular vision (6,7) is often researched, but calibration method for multi-camera pose relationship based on monocular vision is rarely researched.…”
Section: Introductionmentioning
confidence: 99%
“…Patrones como tableros de ajedrez (blanco y negro) [6] y círculos [5] son comúnmente usados junto con estrategias clásicas de detección de bordes, esquinas y centros geométricos. En todos los casos, los errores en las coordenadas de los puntos están determinados por el nivel de ruido y contraste de las imágenes.…”
Section: Introductionunclassified
“…1 but cannot be used directly in such a case that the area of the image frame is less than the fisheye image, as shown in Fig. In [10] and [11], the board image with the checkerboard pattern was captured by the fisheye camera. In [8] and [9], the imaging characteristic of a projected straight line was utilized.…”
Section: Introductionmentioning
confidence: 99%
“…2. The methods in [8] to [11] were proposed by extracting the special imaging points and were simple and easy to realize, but the choice of the special points has a certain chanciness, and the global symmetrical characteristic of the fisheye image was not used. The fisheye distortion center was calibrated by adopting the corresponding algorithms to fit the projected curve of the straight line, such as the circle fitting algorithm in [8] and Gaussian curve fitting algorithm in [9].…”
Section: Introductionmentioning
confidence: 99%