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Improvement of 3-D position accuracy derived from weak perspective stereo vision using perceptron model

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2 Author(s)
Xiao Wei Tu ; CNRS, Univ. de Technol. de Compiegne, France ; Dubuisson, Bernard

In this paper, we show you an approach for estimating a calibration matrix of an affine stereo rig using a perceptron model. A pinhole camera model is first established, then an affine stereo is used, which simplifies the calibration task, and leaves less parameters to be calculated than in a full perspective case. More reliable results can often be obtained by using an affine approximation in a lot of real industrial applications. As in most of estimation problems, the matrix of the stereo rig is ill-conditioned, the result of estimation is even worse when the number of input data are limited and noisy. To improve the precision of the elements in the calibration matrix, we use a perceptron model by applying iteratively the learning data. This approach can be extended to full perspective case, more general neural network model with back-propagation should be studied in the future

Published in:

Systems, Man, and Cybernetics, 1996., IEEE International Conference on  (Volume:4 )

Date of Conference:

14-17 Oct 1996