… landmark detection scheme, based on Bayesian surprise, for use in topological mapping.
Our method detects landmarks … apply surprise to landmark detection as the landmark detector …

… at first is observed repeatedly, it loses its surprising nature. Such operation is required when
we apply surprise to landmark detection as the landmark detector should fire only when the …

… This is done by training neural network landmark detectors so as to minimize the a posteriori
localization … This comes at little surprise, since the less dependent the individual landmark …

… : Ranganathan and Dellaert [26] proposed a hierarchical graphical model for the representation
of a place and use this model and Bayesian surprise to perform landmark detection. …

… the use of Bayesian surprise, introduced in computer vision, for detection of certain types of
… surprise trigger is computed using Bayesian probabilistic inference techniques. Once the …

… To this end we employ the notion of Bayesian surprise, as … To detect landmark locations
Ranganathan and Dellaert [5] … Bayesian surprise and landmark detection. In: ICRA, pp. 2017…

… In [9], we proposed a method for surprise detection that is … for the computation of Bayesian
surprise. Although our algorithms … not focus on objects and landmarks which are only useful for …

… detect those key points over the years, and in this paper, we perform an extensive review of
them. We classify the facial landmark detection … are merged through Bayesian integration. …

… extended landmark detection mechanism … landmark detection mechanisms are surveyed
in Section 3 Next, we introduce our landmark detection approach using the notions of surprise …

… Itti and Baldi’s interpretation of Bayesian Surprise has found … automatic detection of landmarks
in computer vision [27], detection … Bayesian surprise and landmark detection. In 2009 IEEE …