Image Matching is a core component of all best-performing algorithms and pipelines in 3D
vision. Yet despite matching being fundamentally a 3D problem, intrinsically linked to …

Interest point detection and local feature description are fundamental steps in many
computer vision applications. Classical approaches are based on a detect-then-describe …

This work presents Kornia--an open source computer vision library which consists of a set of
differentiable routines and modules to solve generic computer vision problems. At its core …

We introduce a novel approach for keypoint detection that combines handcrafted and
learned CNN filters within a shallow multi-scale architecture. Handcrafted filters provide …

The dominant approach for learning local patch descriptors relies on small image regions
whose scale must be properly estimated a priori by a keypoint detector. In other words, if two …

In feature based image matching, distinctive features in images are detected and
represented by feature descriptors. Matching is then carried out by assessing the similarity of …

Visual localization, ie, camera pose estimation in a known scene, is a core component of
technologies such as autonomous driving and augmented reality. State-of-the-art …

Visual localization, ie, camera pose estimation in a known scene, is a core component of
technologies such as autonomous driving and augmented reality. State-of-the-art …

Methods that combine local and global features have recently shown excellent performance
on multiple challenging deep image retrieval benchmarks, but their use of local features …

The idea of virtual time machines in digital environments like hand-held virtual reality or four-
dimensional (4D) geographic information systems requires an accurate positioning and …