Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …

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 …

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 …

This paper presents an approach that reconstructs a hand-held object from a monocular
video. In contrast to many recent methods that directly predict object geometry by a trained …

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 …

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 …