Matlab Code for Model-Based Numerical Pose Recovery

The Matlab code provided here was used in the empirical evaluation of our fully projective reformulation of Lowe's pose recovery algorithm. A detailed description of the algorithms implemented here can be found at:
  1. H. Araújo, R. L. Carceroni and C. M. Brown, ``A Fully Projective Formulation to Improve the Accuracy of Lowe's Pose-Estimation Algorithm'', in Computer Vision and Image Understanding, to appear. Size: 16 pages, available for download as a gzipped PostScript file.
  2. H. Araújo, R. L. Carceroni and C. M. Brown, ``A Fully Projective Formulation for Lowe's Tracking Algorithm'', TR 641, Comp. Sci. Dept., U. Rochester, Nov 1996. Size: 42 pages, available for download as a gzipped PostScript file.

Main Files:


Auxiliary Files (Also Needed):


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