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Issue No.08 - August (1995 vol.17)
pp: 779-789
ABSTRACT
<p><it>Abstract</it>—In the general case, a trilinear relationship between three perspective views is shown to exist. The <it>trilinearity</it> result is shown to be of much practical use in visual recognition by alignment—yielding a direct reprojection method that cuts through the computations of camera transformation, scene structure and epipolar geometry. Moreover, the direct method is linear and sets a new lower theoretical bound on the minimal number of points that are required for a linear solution for the task of reprojection. The proof of the central result may be of further interest as it demonstrates certain regularities across homographies of the plane and introduces new view invariants. Experiments on simulated and real image data were conducted, including a comparative analysis with epipolar intersection and the linear combination methods, with results indicating a greater degree of robustness in practice and a higher level of performance in reprojection tasks.</p>
INDEX TERMS
Visual recognition, alignment, reprojection, projective geometry, algebraic and geometric invariants.
CITATION
Amnon Shashua, "Algebraic Functions For Recognition", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.17, no. 8, pp. 779-789, August 1995, doi:10.1109/34.400567
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