High-speed multiple-view image point correspondences using rectification

In high precision close-range applications, images of signalizing targets on object(s) are acquired from multiple view points. Sub-pixel locations (image points) of target images are computed. In order to estimate 3-D locations, image point in each view that represent the same 3-D object point are identified. This identification process is referred to as establishment of image point correspondences and is the topic of this paper. The development of a multiple view image point correspondence algorithm based on rectification principles is discussed. The algorithm uses parallel epipolar lines for the establishment of image point correspondences hence, it is termed the Parallel Epipolar Line (PEL) algorithm. The PEL algorithm is suitable for applications where real-time multiple view image point correspondences are required.