Abstract
A method for isolating three-dimensional features of known height in the presence of noisy data is presented. The approach is founded on observing the locations of a single light stripe in the image planes of two spatially separated cameras. Knowledge relating to the heights of sought features is used to define regions of interest in each image, which are searched to isolate the light stripe. This approach is advantageous because spurious features that may result from random reflections or refractions in the region of interest of one image usually do not appear in the corresponding region of interest of the other image. It is shown that such a system is capable of robustly locating features such as very thin vertical dividers even in the presence of spurious or noisy image data that would normally cause conventional single-camera light-striping systems to fail. The discussion that follows summarizes the advantages of the methodology in relation to conventional passive stereoscopic systems as well as light-striped triangulation systems. Results that characterize the approach in noisy images are also provided.
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