An optimal algorithm for the derivation of shape from shadows
Hatzitheodorou, M.
Kender, J.R.
Dept. of Comput. Sci., Columbia Univ., New York, NY;
This paper appears in: Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Publication Date: 5-9 Jun 1988
On page(s): 486-491
Meeting Date: 06/05/1988 - 06/09/1988
Location: Ann Arbor, MI, USA
ISBN: 0-8186-0862-5
References Cited: 16
INSPEC Accession Number: 3258545
Digital Object Identifier: 10.1109/CVPR.1988.196279
Current Version Published: 2002-08-06
Abstract
The authors study the problem of recovering a surface slice from
the shadows it casts on itself when lighted by the sun at various times
of the day. The problem is formulated and solved in a Hilbert space
setting. The spine algorithm interpolating the data that result from the
shadows is constructed. This algorithm is optimal in terms of the
approximation error and has low cost. The authors implement the optimal
error algorithm and show a series of test runs. Another modified version
of the algorithm that improves the cost considerably is also shown. This
version is suited for parallel computation with further reductions in
the cost of the solution
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