This article presents a particle filter for pose estimation using unit dual quaternion
kinematics. The eight-parameter unit dual quaternion is used for global representation of the …

Hand pose estimation with objects is challenging due to object occlusion and the lack of
large annotated datasets. To tackle these issues, we propose an Augmented Autoencoder …

The goal of this paper is to estimate object's 6D pose based on the texture-less dataset. The
pose of each projection view is obtained by rendering the 3D model of each object, and then …

In this work, we developed a multimodal imaging system for real-time applications by
integrating 2D image sensors in different spectral ranges as well as a polarization camera …

Particle filtering is a common technique for six degree of freedom (6D) pose estimation due
to its ability to tractably represent belief over object pose. However, the particle filter is prone …

In many applications, the 6 DoF pose of an object is required. This includes robotic
applications, such as in-hand manipulation by an anthropomorphic robot and applications in …

Estimation of 6D object poses is a key issue in robotic gras** tasks. Recently, many high-
performance learning-based methods have been introduced using robust deep learning …

While object tracking for 3D point clouds has been widely researched in recent years, most
trackers employ a direct point-to-point matching method under the assumption that target …