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Artificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: a review
Augmented reality (AR) has proven to be an invaluable interactive medium to reduce
cognitive load by bridging the gap between the task-at-hand and relevant information by …
cognitive load by bridging the gap between the task-at-hand and relevant information by …
A review of cooperative and uncooperative spacecraft pose determination techniques for close-proximity operations
R Opromolla, G Fasano, G Rufino, M Grassi - Progress in Aerospace …, 2017 - Elsevier
The capability of an active spacecraft to accurately estimate its relative position and attitude
(pose) with respect to an active/inactive, artificial/natural space object (target) orbiting in …
(pose) with respect to an active/inactive, artificial/natural space object (target) orbiting in …
Pose estimation for augmented reality: a hands-on survey
E Marchand, H Uchiyama… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Augmented reality (AR) allows to seamlessly insert virtual objects in an image sequence. In
order to accomplish this goal, it is important that synthetic elements are rendered and …
order to accomplish this goal, it is important that synthetic elements are rendered and …
Deep label distribution learning with label ambiguity
Convolutional neural networks (ConvNets) have achieved excellent recognition
performance in various visual recognition tasks. A large labeled training set is one of the …
performance in various visual recognition tasks. A large labeled training set is one of the …
img2pose: Face alignment and detection via 6dof, face pose estimation
We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face
detection or landmark localization. We observe that estimating the 6DoF rigid transformation …
detection or landmark localization. We observe that estimating the 6DoF rigid transformation …
Driver drowsiness detection via a hierarchical temporal deep belief network
CH Weng, YH Lai, SH Lai - … Vision–ACCV 2016 Workshops: ACCV 2016 …, 2017 - Springer
Drowsy driver alert systems have been developed to minimize and prevent car accidents.
Existing vision-based systems are usually restricted to using visual cues, depend on tedious …
Existing vision-based systems are usually restricted to using visual cues, depend on tedious …
Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization
M Koestinger, P Wohlhart, PM Roth… - … on computer vision …, 2011 - ieeexplore.ieee.org
Face alignment is a crucial step in face recognition tasks. Especially, using landmark
localization for geometric face normalization has shown to be very effective, clearly …
localization for geometric face normalization has shown to be very effective, clearly …
Neural network-based pose estimation for noncooperative spacecraft rendezvous
This article presents the Spacecraft Pose Network (SPN), the first neural network-based
method for on-board estimation of the pose, ie, the relative position and attitude, of a known …
method for on-board estimation of the pose, ie, the relative position and attitude, of a known …
[ספר][B] Computer vision: algorithms and applications
R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …
despite all of the recent advances in computer vision research, the dream of having a …
Pose estimation of a mobile robot based on fusion of IMU data and vision data using an extended Kalman filter
MB Alatise, GP Hancke - Sensors, 2017 - mdpi.com
Using a single sensor to determine the pose estimation of a device cannot give accurate
results. This paper presents a fusion of an inertial sensor of six degrees of freedom (6-DoF) …
results. This paper presents a fusion of an inertial sensor of six degrees of freedom (6-DoF) …