This paper is aimed at evaluating the performances of different measures which have been proposed in literature for robust matching. In particular, classical matching metrics typically employed for this task are considered together with specific approaches aiming at achieving robustness. The main aspects assessed by the proposed evaluation are robustness with respect to photometric distortions, noise and occluded patterns. Specific datasets have been used for testing, which provide a very challenging framework for what concerns the considered disturbance factors and can also serve as testbed for evaluation of future robust visual correspondence measures.

F. Tombari, L. di Stefano, S. Mattoccia, A. Galanti (2008). Performance Evaluation of Robust Matching Measures. SETÚBAL : INSTICC.

Performance Evaluation of Robust Matching Measures

TOMBARI, FEDERICO;DI STEFANO, LUIGI;MATTOCCIA, STEFANO;
2008

Abstract

This paper is aimed at evaluating the performances of different measures which have been proposed in literature for robust matching. In particular, classical matching metrics typically employed for this task are considered together with specific approaches aiming at achieving robustness. The main aspects assessed by the proposed evaluation are robustness with respect to photometric distortions, noise and occluded patterns. Specific datasets have been used for testing, which provide a very challenging framework for what concerns the considered disturbance factors and can also serve as testbed for evaluation of future robust visual correspondence measures.
2008
VISAPP 2008: Proceedings of the Third International Conferenceon Computer Vision Theory and Applications
473
478
F. Tombari, L. di Stefano, S. Mattoccia, A. Galanti (2008). Performance Evaluation of Robust Matching Measures. SETÚBAL : INSTICC.
F. Tombari; L. di Stefano; S. Mattoccia; A. Galanti
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/60782
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