The artificial neural network (ANN)–a machine learning technique inspired by the human
neuronal synapse system–was introduced in the 1950s. However, the ANN was previously …

Object pose recovery has gained increasing attention in the computer vision field as it has
become an important problem in rapidly evolving technological areas related to autonomous …

We propose a single-shot approach for simultaneously detecting an object in an RGB image
and predicting its 6D pose without requiring multiple stages or having to examine multiple …

In recent years, the task of estimating the 6D pose of object instances and complete scenes,
ie camera localization, from a single input image has received considerable attention …

In this paper, we present a Convolutional Neural Network (CNN) regression approach to
address the two major limitations of existing intensity-based 2-D/3-D registration technology …

This paper addresses the task of estimating the 6D-pose of a known 3D object from a single
RGB-D image. Most modern approaches solve this task in three steps: i) compute local …

The rise of social media in couple of years has changed the general perspective of
networking, socialization, and personalization. Use of data from social networks for different …

We address the task of 6D pose estimation of known rigid objects from single input images
in scenarios where the objects are partly occluded. Recent RGB-D-based methods are …

Accurate and high-quality depth maps are required in lots of 3D applications, such as multi-
view rendering, 3D reconstruction and 3DTV. However, the resolution of captured depth …

Localization in challenging, natural environments, such as forests or woodlands, is an
important capability for many applications from guiding a robot navigating along a forest trail …