Accompanying the advent of wireless networking and the Internet of Things (IoT), traditional
augmented reality (AR) systems to visualize virtual 3D models of the real world are evolving …

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 …

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 …

This paper solves the problem of real-time 6-DoF object tracking from an RGB video. Prior
optimization-based methods optimize the object pose by aligning the projected model to the …

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 …

This paper proposes a scalable Augmented Reality (AR) framework enabled by a simple
extension to the Internet of Things (IoT) infrastructure, called the" ARIoT." Through ARIoT (1) …

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 …

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 …

We propose a novel, highly efficient sparse approach to region-based 6DoF object tracking
that requires only a monocular RGB camera and the 3D object model. The key contribution …

We propose an edge‐based method for 6DOF pose tracking of rigid objects using a
monocular RGB camera. One of the critical problem for edge‐based methods is to search …