Pose Estimation for Augmented Reality: A Hands-On Survey

By É. Marchand, Hideaki Uchiyama, Fabien Spindler. IEEE Transactions on Visualization and Computer Graphics, 2016

781 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/ac895ba713e0a37a393fd482429acbccc79585f8

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In Aerospace Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion (2019, background): “6D object pose estimation is the crux to many important real-world applications, such as robotic grasping and manipulation [7, 35, 44], autonomous navigation [6, 11, 42], and augmented reality [19, 20].”
A Review on Challenges of Autonomous Mobile Robot and Sensor Fusion Methods (2020, background): “The number of iterations is denoted as [92]–[94]:”
PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation (2019, background): “It is an important component in many real-world applications, such as robotic grasping and manipulation [6, 48, 55], autonomous driving [11, 5, 53], augmented reality [31] and so on.”
All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda (2021, background): “proposed for VR [340], [341] and AR [342]–[344].”
GDRNPP: A Geometry-Guided and Fully Learning-Based Object Pose Estimator (2021, neutral): “It has wide applicability to many real-world tasks such as robotic manipulation [1], [2], [3], augmented reality [4], [5] and autonomous driving [6], [7].”
A comparative analysis of SIFT, SURF, KAZE, AKAZE, ORB, and BRISK (2018, background): “Image matching is the cornerstone of many computer and machine vision applications specially: Robot Navigation, Pose Estimation [1], Visual Odometry [2], [3]; Visual Simultaneous Localization and Mapping [4], [5]; Object Detection, Object Tracking, Augmented Reality [6], Image Mosaicing, and Panoram”
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, background): “…location has beneﬁts for several applications, such as positioning of unmanned aerial vehicles (UAVs), ground robots, in factory automation, or for automated vehicles [93], as well as new disruptive applications in the contexts of virtual and augmented reality, gaming, social networking, etc. [94].”
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects (2023, background): “Computing the rigid 6D transformation from the object to the camera, also known as object pose estimation, is crucial for a variety of applications, such as robotic manipulation [29, 63, 64] and mixed reality [40].”