July 2004
Intermediate to advanced
688 pages
19h 3m
English
Content preview from Emerging Topics in Computer VisionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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2.5. Solving Camera Calibration with 1D Objects
In this section, we describe in detail how to solve the camera calibration problem from a number of observations of a 1D object consisting of three collinear points moving around one of them [43, 44]. We consider only this minimal configuration, but it is straightforward to extend the result if a calibration object has four or more collinear points.
2.5.1. Setups with free-moving 1D calibration objects
We now examine possible setups with 1D objects for camera calibration. As already mentioned, we need to have several observations of the 1D objects. Without loss of generality, we choose the camera coordinate system to define the 1D objects; therefore, R = I and t = 0 in (2.1).
Two points with known ...
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