Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7052
Title: Internal Camera Calibration Using Rotation and Geometric Shapes
Issue Date: 9-Oct-2013
Description: This paper describes a simple method for internal camera calibration for computer vision. This method is based on tracking image features through a sequence of images while the camera undergoes pure rotation. The location of the features relative to the camera or to each other need not be known and therefore this method can be used both for laboratory calibration and for self calibration in autonomous robots working in unstructured environments. A second method of calibration is also presented. This method uses simple geometric objects such as spheres and straight lines to The camera parameters. Calibration is performed using both methods and the results compared.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/1721
Other Identifiers: AITR-1426
http://hdl.handle.net/1721.1/7052
Appears in Collections:MIT Items

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