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plane (BPP) algorithm to address the "perspective-
plane" problem, which can localize object/camera by
determining planar structure from more generalized
planar and out-of-plane constraints. Computation of
the plane normal is formulated as a maximum
likelihood problem and is solved by MLS-M. Both
2D and 1D searching modes were presented. The
BPP algorithm has been tested with real image data.
The results show that the proposed algorithm is
generalized to utilize different types of constraints
for accurate localization.
ACKNOWLEDGEMENTS
The work presented in this paper was sponsored by a
research grant from the Grant-In-Aid Scientific
Research Project (No. P10049) of the Japan Society
for the Promotion of Science (JSPS), Japan, and a
research grant (No. L2010060) from the Department
of Education (DOE), Liaoning Province, China.
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