A new generalized computational framework for finding objectorientation using perspective trihedral angle constraint
Yuyan Wu
Iyengar, S.S.
Jain, R.
Bose, S.
Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Oct 1994
Volume: 16,
Issue: 10
On page(s): 961-975
ISSN: 0162-8828
References Cited: 16
CODEN: ITPIDJ
INSPEC Accession Number: 4802681
Digital Object Identifier: 10.1109/34.329012
Current Version Published: 2002-08-06
Abstract
This paper investigates a fundamental problem of determining the
position and orientation of a three-dimensional (3-D) object using a
single perspective image view. The technique is focused on the
interpretation of trihedral angle constraint information. A new closed
form solution based on Kanatani's formulation is proposed. The main
distinguishing feature of the authors' method over the original Kanatani
formulation is that their approach gives an effective closed form
solution for a general trihedral angle constraint. The method also
provides a general analytic technique for dealing with a class of
problem of shape from inverse perspective projection by using
“angle to angle correspondence information.” A detailed
implementation of the authors' technique is presented. Different
trihedral angle configurations were generated using synthetic data for
testing the authors' approach of finding object orientation by angle to
angle constraint. The authors performed simulation experiments by adding
some noise to the synthetic data for evaluating the effectiveness of
their method in a real situation. It has been found that the authors'
method worked effectively in a noisy environment which confirms that the
method is robust in practical application
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