We show how to train a Convolutional Neural Network to assign a canonical orientation to
feature points given an image patch centered on the feature point. Our method improves …

In this paper we present a stereo visual odometry system developed for autonomous
underwater vehicle localization tasks. The main idea is to make use of only highly reliable …

The methods developed in recent years for synthesising an ocular fundus can be been
divided into two main categories. The first category of methods involves the development of …

sGLOH (shifting GLOH) is a histogram-based keypoint descriptor that can be associated to
multiple quantized rotations of the keypoint patch without any recomputation. This property …

A sensor-based vision localization system is one of the most essential technologies in
computer vision applications like an autonomous navigation, surveillance, and many others …

This paper presents a novel stereo visual odometry (VO) framework based on structure from
motion, where a robust keypoint tracking and matching is combined with an effective …

Determining relative camera pose is a fundamental problem in computer vision, and pose is
often computed from feature correspondences. For point features, a minimum of five …

Robust matching, especially the number, precision and distribution of feature point
matching, directly affects the effect of 3D reconstruction. However, the existing methods …

This paper presents a line matching method based on multiple intensity ordering with
uniformly spaced sampling. Line segments are extracted from the image pyramid, with the …

Feature association is a core issue in feature-based Visual Odometry methods. In this paper,
we present a novel approach for stereo Visual Odometry, based on a careful feature …