This paper evaluates the performance of several popular corner detectors using two newly defined criteria. The majority of authors of published corner detectors have not used theo...
Predictive accuracy has been used as the main and often only evaluation criterion for the predictive performance of classification learning algorithms. In recent years, the area ...
This paper presents a novel method for detecting scale
invariant keypoints. It fills a gap in the set of available
methods, as it proposes a scale-selection mechanism for
juncti...
Wolfgang F¨orstner, Timo Dickscheid, Falko Schind...
Over the last decade, there has been a significant increase in the number and sophistication of malware-related attacks and infections. Many detection techniques have been propos...
Davide Canali, Andrea Lanzi, Davide Balzarotti, Ch...
A new approach to characterizing the performance of point-correspondence algorithms is presented. Instead of relying on any \ground truth', it uses the self-consistency of th...