Non intrusive scene measurement tasks such as 3D reconstruction, object inspection, target or self localization or scene mapping require a calibrated camera model. A camera, or a stereo configuration of cameras, is said to be calibrated when its model is clearly defined and its parameters are calculated. We can distinguish between two types of models: explicit, or white box model, and implicit, or black box model.
The presentation deals with the calibration of a stereo configuration by means of two different approaches: a classic perspective projection model and a novel model using fuzzy systems. The main focus is put on the mathematical formulation of the model and eventually the presented models are compared according to several criteria. The advantages and disadvantages of each method are analyzed with respect to the possible applications of the stereo system.
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