Object location and tracking is a major issue in computer vision. This problem is normally solved through the extraction of representative features of the object, and the two- dimensional coordinates of these image features are used to compute the position of the object. When more than one camera is used, a certain similarity measure between the image features extracted from both stereoscopic images helps to match the correspondences. In this way, three-dimensional measurements can be recovered from the 2D coordinates of the features extracted from different cameras.
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