This chapter describes the process of predicting the image coordinates of a target as seen by a camera. There are four steps in the prediction process: determining the apparent direction from the camera to the target at the exposure time, expressing this vector in the coordinate system of the camera, projecting the vector through the camera optics onto the detector, and converting the projected image location into picture coordinates. The chapter deals with the geometry calculations that culminate in predicting the apparent direction from the camera to an object. Real cameras of course have not pinholes but optical elements; nevertheless, the basis of the mathematics remains the gnomonic projection. Distortion is the only classical third‐order aberration to affect the position of images. The open source software package OpenCV uses a distortion model that is similar to but somewhat more comprehensive than the Acton–Duxbury model.


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    Title :

    Modeling Optical Navigation Observables


    Contributors:

    Published in:

    Publication date :

    2024-11-13


    Size :

    18 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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