Abstract

Large-scale stockpiles are a common means for the storage of bulk material and their shape mea surement is a prerequisite for effective transportation and logistics management. This paper proposes a projection-aided videometric method that is based on stereo vision and makes use of projections and epipolar geometry constraints to solve the correspondence problem. A prototype measuring system was developed that can work in real time and achieve measuring accuracy of 0.71mm in terms of the flatness deviation and 0.54mm in terms of the depth error, as proven by the experimental results.

© 2011 Optical Society of America

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