Quartz Glass Grid Calibration Plate

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Chrome film exhibit

Physical display of Quartz Glass square calibration plate

The camera calibration technology requires accurate camera intrinsic and extrinsic parameters as the

 input and prerequisite for the reconstruction algorithm. The most popular camera calibration

 algorithm is proposed by Tsai in 1987 [Tsai1987]. The Tsai method uses a non-coplanar dedicated

 algorithm. The identified 3D calibration object is calibrated to provide the correspondence between

 the image point and its corresponding 3D space point and the calibration parameter is calculated.

 Another practical approach was proposed by Zhang in 1999 [Bouguet2007], which requires at least

 two different views of a planar calibration pattern for calibration. Both methods are effectively

 implemented by Caltech's camera calibration tool and have been integrated into Intel's vision

 algorithm library OpenCV [OpenCV2004]. Through the calibration algorithm, the projection matrix of

 the camera can be calculated and the 3D measurement information of the scene can be provided.

 Similar transformation-level metric reconstruction can be achieved without given absolute translation,

 rotation, and scaling parameters of the real scene.

Exhibition photos

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