Results 11 to 20 of about 550,284 (290)

Certifiable relative pose estimation [PDF]

open access: yesImage and Vision Computing, 2021
In this paper we present the first fast optimality certifier for the non-minimal version of the Relative Pose problem for calibrated cameras from epipolar constraints. The proposed certifier is based on Lagrangian duality and relies on a novel closed-form expression for dual points.
Garcia-Salguero, Mercedes   +2 more
openaire   +2 more sources

Allocentric Pose Estimation [PDF]

open access: yes2013 IEEE International Conference on Computer Vision, 2013
The task of object pose estimation has been a challenge since the early days of computer vision. To estimate the pose (or viewpoint) of an object, people have mostly looked at object intrinsic features, such as shape or appearance. Surprisingly, informative features provided by other, external elements in the scene, have so far mostly been ignored.
Oramas Mogrovejo, JosĂ© Antonio   +2 more
openaire   +3 more sources

Recurrent Human Pose Estimation [PDF]

open access: yes2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 2017
We propose a novel ConvNet model for predicting 2D human body poses in an image. The model regresses a heatmap representation for each body keypoint, and is able to learn and represent both the part appearances and the context of the part configuration.
Belagiannis, V, Zisserman, A
openaire   +3 more sources

Automated Pose Estimation in Primates

open access: yesAmerican Journal of Primatology, 2021
Understanding the behavior of primates is important for primatology, for psychology, and for biology more broadly. It is also important for biomedicine, where primates are an important model organism, and whose behavior is often an important variable of interest. Our ability to rigorously quantify behavior has, however, long been limited.
Benjamin Hayden   +2 more
openaire   +2 more sources

Dynamical Pose Estimation [PDF]

open access: yes2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
We study the problem of aligning two sets of 3D geometric primitives given known correspondences. Our first contribution is to show that this primitive alignment framework unifies five perception problems including point cloud registration, primitive (mesh) registration, category-level 3D registration, absolution pose estimation (APE), and category ...
Yang, Heng   +2 more
openaire   +2 more sources

Ego-Body Pose Estimation via Ego-Head Pose Estimation

open access: yesAI Matters, 2023
Estimating 3D human motion from an ego-centric video, which records the environment viewed from the first-person perspective with a front-facing monocular camera, is critical to applications in VR/AR. However, naively learning a mapping between egocentric videos and full-body human motions is challenging for two reasons.
Li, Jiaman, Liu, C. Karen, Wu, Jiajun
openaire   +2 more sources

3D Human Pose Estimation = 2D Pose Estimation + Matching [PDF]

open access: yes2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Demo code: https://github.com/flyawaychase ...
Chen, Ching-Hang, Ramanan, Deva
openaire   +2 more sources

THANet: Transferring Human Pose Estimation to Animal Pose Estimation

open access: yesElectronics, 2023
Animal pose estimation (APE) boosts the understanding of animal behaviors. Recent vision-based APE has attracted extensive attention due to the advantages of contactless and sensorless applications. One of the main challenges in APE is the lack of high-quality keypoint annotations for different animal species since manually annotating the animal ...
Jincheng Liao   +3 more
openaire   +1 more source

Pose ResNet: 3D Human Pose Estimation Based on Self-Supervision

open access: yesSensors, 2023
The accurate estimation of a 3D human pose is of great importance in many fields, such as human–computer interaction, motion recognition and automatic driving.
Wenxia Bao   +4 more
doaj   +1 more source

Unstable Landing Platform Pose Estimation Based on Camera and Range Sensor Homogeneous Fusion (CRHF)

open access: yesDrones, 2022
Much research has been accomplished in the area of drone landing and specifically pose estimation. While some of these works focus on sensor fusion using GPS, or GNSS, we propose a method that uses sensors, including four Time of Flight (ToF) range ...
Mohammad Sefidgar, Rene Landry
doaj   +1 more source

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