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Sensor Errors and the Uncertainties in Stereo Reconstruction

By Gerda Kamberova and Ruzena Bajcsy


An important objective in the evaluation of algorithms with sensory inputs is the development of measures characterizing the intrinsic errors in the results. Intrinsic are those errors which are caused by noise in the input data. The particular application which we consider is 3-D reconstruction from stereo. We demonstrate that a radiometric correction of the images could improve signi cantly the accuracy. We propose a con dence interval approach for quantifying the precision. We also illustrate the use of the con dence intervals for the rejection of unreliable 3D points

Publisher: IEEE Computer Society Press
Year: 1998
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