The paper presents the matching core of a stereo algorithm suitable to real-time applications. Unlike most area-based algorithms, the proposed approach relies on a single matching phase (i.e. do not include the check for left-right consistency). Unreliable disparity measuremnts are primarly detected on the basis of the violation of the uniqueness constraint. In order to further improve the reliability of the matches we enforce additional contraints based on the behaviour of the error function that can be veryfied at a very small computational cost. Experimental results show that the proposed approach provides reliable disparity measurements and that it is significantly fast. © 2002 IEEE.

Di Stefano, L., Marchionni, M., Mattoccia, S., Neri, G. (2002). Dense stereo based on the uniqueness constraint.

Dense stereo based on the uniqueness constraint

Di Stefano L.;Mattoccia S.;Neri G.
2002

Abstract

The paper presents the matching core of a stereo algorithm suitable to real-time applications. Unlike most area-based algorithms, the proposed approach relies on a single matching phase (i.e. do not include the check for left-right consistency). Unreliable disparity measuremnts are primarly detected on the basis of the violation of the uniqueness constraint. In order to further improve the reliability of the matches we enforce additional contraints based on the behaviour of the error function that can be veryfied at a very small computational cost. Experimental results show that the proposed approach provides reliable disparity measurements and that it is significantly fast. © 2002 IEEE.
2002
Proceedings - International Conference on Pattern Recognition
657
660
Di Stefano, L., Marchionni, M., Mattoccia, S., Neri, G. (2002). Dense stereo based on the uniqueness constraint.
Di Stefano, L.; Marchionni, M.; Mattoccia, S.; Neri, G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/872177
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