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<p><b>Abstract</b>—We argue that for a method to be useful in practice, it is necessary to perform its sensitivity analysis and to investigate its robustness to measurement errors. We present here a complete sensitivity analysis of the 3D reconstruction method based on projective geometry. We use this sensitivity analysis to best design a system for the inference of the shape of a block of granite from cameras placed at 90 degrees angular separation. The system has been tested on both real and synthetic data.</p>
Performance evaluation, projective geometry, 3D reconstruction.

N. Georgis, M. Petrou and J. Kittler, "Error Guided Design of a 3D Vision System," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 20, no. , pp. 366-379, 1998.
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