Revisiting trends in augmented reality research: A review of the 2nd decade of ISMAR (2008–2017)
In 2008, Zhou et al. presented a survey paper summarizing the previous ten years of ISMAR
publications, which provided invaluable insights into the research challenges and trends …
publications, which provided invaluable insights into the research challenges and trends …
Deep learning on monocular object pose detection and tracking: A comprehensive overview
Object pose detection and tracking has recently attracted increasing attention due to its wide
applications in many areas, such as autonomous driving, robotics, and augmented reality …
applications in many areas, such as autonomous driving, robotics, and augmented reality …
Deepim: Deep iterative matching for 6d pose estimation
Estimating the 6D pose of objects from images is an important problem in various
applications such as robot manipulation and virtual reality. While direct regression of images …
applications such as robot manipulation and virtual reality. While direct regression of images …
ContactPose: A dataset of grasps with object contact and hand pose
Grasping is natural for humans. However, it involves complex hand configurations and soft
tissue deformation that can result in complicated regions of contact between the hand and …
tissue deformation that can result in complicated regions of contact between the hand and …
PoseRBPF: A Rao–Blackwellized particle filter for 6-D object pose tracking
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 …
different tasks such as manipulation and navigation. In this article, we formulate the 6-D …
Deep model-based 6d pose refinement in rgb
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 established idea of contour-based pose tracking, we teach a deep neural network to …
se (3)-tracknet: Data-driven 6d pose tracking by calibrating image residuals in synthetic domains
Tracking the 6D pose of objects in video sequences is important for robot manipulation. This
task, however, introduces multiple challenges:(i) robot manipulation involves significant …
task, however, introduces multiple challenges:(i) robot manipulation involves significant …
Di-fusion: Online implicit 3d reconstruction with deep priors
Previous online 3D dense reconstruction methods struggle to achieve the balance between
memory storage and surface quality, largely due to the usage of stagnant underlying …
memory storage and surface quality, largely due to the usage of stagnant underlying …
[HTML][HTML] Grand challenges for augmented reality
M Billinghurst - Frontiers in Virtual Reality, 2021 - frontiersin.org
In his 1965 article, The Ultimate Display, Ivan Sutherland imagined a future computer
interface that blurred the separation between the digital and physical worlds (Sutherland …
interface that blurred the separation between the digital and physical worlds (Sutherland …
SRT3D: A sparse region-based 3D object tracking approach for the real world
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 of texture-less objects in cluttered scenes. However, while they achieve state-of-the …