The problem of the computation of stereo disparity is approaehed as a mathematically ill-posed problem by using regularization theory. A controlled continuity constraint which provides a local spatial control over the smoothness of the solution enables the problem to be regularized while preserving the disparity discontinuities. The discontinuities are localized during the regularization process by examining the size of the disparity gradient at the gray value edges. An iterative algorithm for the computation of stereo disparity is obtained, and a computer experiment with synthetic data is shown.

A regularization model for stereo vision with controlled continuity

March R
1989

Abstract

The problem of the computation of stereo disparity is approaehed as a mathematically ill-posed problem by using regularization theory. A controlled continuity constraint which provides a local spatial control over the smoothness of the solution enables the problem to be regularized while preserving the disparity discontinuities. The discontinuities are localized during the regularization process by examining the size of the disparity gradient at the gray value edges. An iterative algorithm for the computation of stereo disparity is obtained, and a computer experiment with synthetic data is shown.
1989
Istituto Applicazioni del Calcolo ''Mauro Picone''
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Stereo vision
Ill-posed problems
Regularization
Discontinuity detection
Controlled continuity constrains
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/9492
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