Maximum consensus problem, the: recent algorithmic advances
Auteur :
Chin, Tat-Jun / Suter, David
Éditeur :
Springer International Publishing AG
ISBN :
9783031006906
Date de publication :
27 févr. 2017
Dimensions :
23,5 x 19,1 cm
Langue :
Anglais
Pays d'origine :
Suisse
Outlier-contaminated data is a fact of life in computer vision. In this context, the maximum consensus robust criterion plays a critical role by allowing the quantity of interest to be estimated from noisy and outlier-prone visual measurements.