In this paper we introduce a fast, effective method for local image descriptors aggregation that is based on marginal approximations, i.e. the approximation of ...

ABSTRACT. Bag of Words (BOW) models are nowadays one of the most effective methods for visual categorization. They use vi- sual dictionaries to aggregate ...

3.2 Quantile-Based Bins. Here we try to adapt the width of each bin to the prob- ability distribution of the component over the data range.

They use visual dictionaries to aggregate the set of local descriptors extracted from a given image. Despite their high discriminative ability, one of the major ...

In this paper we introduce a fast, effective method for local image descriptors aggregation that is based on marginal approximations, i.e. the approximation of ...

In this paper we introduce a fast, effective method for lo- cal image descriptors aggregation that is based on marginal approximations, i.e. the approximation ...

Marginal-based visual alphabets for local image descriptors aggregation. Miriam Redi, Bernard Mérialdo. Marginal-based visual alphabets for local image ...

Bag of Words (BOW) models are nowadays one of the most effective methods for visual categorization. They use visual dictionaries to aggregate the set of ...

We first present and evaluate different ways of aggregating local image descriptors into a vector and show that the Fisher kernel achieves better performance ...

Sep 25, 2024 · Visual Place Recognition (VPR) is an important capability for embodied agents to localize and navigate autonomously.