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 …

Purpose This paper aims to propose a real-time augmented reality (AR)-based assembly
assistance system using a coarse-to-fine marker-less tracking strategy. The system …

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 …

Due to the lack of distinctiveness to the background, robust monocular 6DOF pose tracking
of less-distinct objects remains an important open problem. In this paper, we firstly analyze …

Template-based 3D object tracking still lacks a high-precision benchmark of real scenes due
to the difficulty of annotating the accurate 3D poses of real moving video objects without …

The 3D object tracking from a monocular RGB image is a challenging task. Although popular
color and edge-based methods have been well studied, they are only applicable to certain …

Region-based methods are currently achieving state-of-the-art performance for monocular
3D object tracking. However, they are still prone to fail in cases of partial occlusions and …

Tracking the pose of a specific rigid object from monocular sequences is a basic problem in
computer vision. State-of-the-art methods assume motion continuity between two …

The robustness and accuracy of industrial object pose tracking is critical in manufacturing
automation. Vision-based object tracking methods estimate poses by establishing feature …