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Promeds: an adaptive robust fundamental matrix estimation approach
Irurueta Carro, Alberto; Morros Rubió, Josep Ramon
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
Accurate fundamental matrix estimation from computed correspondences is hard to achieve depending on the constraints on computational time and available data (i.e. correspondences and quality scores). Several algorithms exist for this task, like the 8-points, the 7-points algorithm [1] or robust methods such as RANSAC [2], MSAC [3] or LMedS [4]. Robust methods are capable of discriminating correspondence outliers, thus, obtaining better results. Additionally, some variations of the previous methods have been proposed. For instance PROSAC [5] is an improvement of RANSAC which takes into account additional information of the quality of the matches to largely reduce the computational cost of the fundamental matrix estimation process. This work proposes a new robust method for fundamental matrix estimation that combines the benefits of PROSAC and LMedS algorithms, namely improved quality, reduced computational time and less parameters to adjust
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
Matrix analytic methods--Data processing
Processament de senyals
Matrius (Matemàtica) -- Informàtica

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