Autonomous vehicles (AVs) rely on various types of sensor technologies to perceive the
environment and to make logical decisions based on the gathered information similar to …

Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of
freedom) pose assumptions are widely discussed and studied in the field. In the 3D object …

Tracking 6-D poses of objects from videos provides rich information to a robot in performing
different tasks such as manipulation and navigation. In this article, we formulate the 6-D …

We present a novel approach for model-based 6D pose refinement in color data. Building on
the established idea of contour-based pose tracking, we teach a deep neural network to …

The eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed
proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in …

Tracking objects in 3D space and predicting their 6DoF pose is an essential task in
computer vision. State-of-the-art approaches often rely on object texture to tackle this …

We present a novel approach to 6DOF pose estimation and segmentation of rigid 3D objects
using a single monocular RGB camera based on temporally consistent, local color …

We propose an algorithm for real-time 6DOF pose tracking of rigid 3D objects using a
monocular RGB camera. The key idea is to derive a region-based cost function using …

Region-based methods have become increasingly popular for model-based, monocular 3D
tracking of texture-less objects in cluttered scenes. However, while they achieve state-of-the …

Tracking the 6-degree-of-freedom (6D) object pose in video sequences is gaining attention
because it has a wide application in multimedia and robotic manipulation. However, current …