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Rotating sensor-matrix camera calibration

Fay Huang, Reinhard Klette, Ju-Chi Tien, Yin-Wei Chang

Year
2010
Citations
4

Abstract

Panoramic images and panoramic cameras (or sensors) are of increasing importance for various applications in computer vision, computer graphics, visualization, and robotics. Various panoramic image capturing sensors have been developed for different purposes. But many of the sensing devices do not support stereo visualization. This paper reviews a methodology for stereo panorama acquisition using a widely available digital matrix camera. Two sensor parameters, off-axis distance and principle angle, are critical to achieving high quality stereo visualization. In this paper, a new camera calibration method will be presented, which supports accurate estimations of these two essential parameters. To our best knowledge, there is no other camera calibration method published so far for such a purpose.

Keywords

Computer visionPanoramaArtificial intelligenceComputer scienceVisualizationStereo cameraCamera resectioningComputer graphics (images)CalibrationStereo cameras

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