Issue No. 07 - July (1999 vol. 21)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.777379
<p><b>Abstract</b>—We describe an essentially algorithm-independent experimental comparison of projective versus Euclidean reconstruction. The Euclidean approach is as accurate as the projective one, even with significant calibration error and for the pure projective structure. Projective optimization has less of a local-minima problem than its Euclidean equivalent. We describe techniques that enhance the convergence of optimization algorithms.</p>
Structure from motion, projective geometry, calibration, experimental verification, multiframe structure from motion, optimization, local minima, Levenberg-Marquardt.
John Oliensis, Venu Govindu, "An Experimental Study of Projective Structure From Motion", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 21, no. , pp. 665-671, July 1999, doi:10.1109/34.777379