An Experimental Study of Projective Structure From Motion

Authors:
John Oliensis;Venu Govindu
Affiliations:
NEC Research Institute, Princeton, NJ;Univ. of Maryland, College Park
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1999

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Abstract

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.