Results 51 to 60 of about 556,231 (187)

It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data [PDF]

, 2018
We address the problem of 3D human pose estimation from 2D input images using only weakly supervised training data. Despite showing considerable success for 2D pose estimation, the application of supervised machine learning to 3D pose estimation in real ...
Eng, Robert, Mac Aodha, Oisin, Perona, Pietro, Ronchi, Matteo Ruggero   +3 more
core   +1 more source

Multisensory embedded pose estimation [PDF]

2011 IEEE Workshop on Applications of Computer Vision (WACV), 2011
We present a multisensory method for estimating the transformation of a mobile phone between two images taken from its camera. Pose estimation is a necessary step for applications such as 3D reconstruction and panorama construction, but detecting and matching robust features can be computationally expensive.
Eyrun Eyjolfsdottir, Matthew Turk 0001
openaire   +1 more source

A Review on Human Pose Estimation

CoRR, 2021
The phenomenon of Human Pose Estimation (HPE) is a problem that has been explored over the years, particularly in computer vision. But what exactly is it? To answer this, the concept of a pose must first be understood. Pose can be defined as the arrangement of human joints in a specific manner.
Rohit Josyula, Sarah Ostadabbas
openaire   +2 more sources

Neuromorphic Event-Based 3D Pose Estimation

Frontiers in Neuroscience, 2016
Pose estimation is a fundamental step in many artificial vision tasks. It consists of estimating the 3D pose of an object with respect to a camera from the object's 2D projection. Current state of the art implementations operate on images.
David eReverter Valeiras, Garrick eOrchard, Sio Hoi eIeng, Ryad Benjamin Benosman   +3 more
doaj   +1 more source

3D Hand Pose Estimation Based on Five-Layer Ensemble CNN

Sensors, 2021
Estimating accurate 3D hand pose from a single RGB image is a highly challenging problem in pose estimation due to self-geometric ambiguities, self-occlusions, and the absence of depth information. To this end, a novel Five-Layer Ensemble CNN (5LENet) is
Lili Fan, Hong Rao, Wenji Yang
doaj   +1 more source

Human pose estimation with general contact

Computational Visual Media
Existing human pose estimation methods seldom consider the impact or constraint of different types of contact. In this paper, we elaborate on the impact of both body-scene contact and self-contact on pose estimation and refer to them as general contact ...
He Zhang, Jianhui Zhao, Fan Li, Yitian Wu, Chao Tan, Shuangpeng Sun, Yaohua Wu, You Li, Tao Yu   +8 more
doaj   +1 more source

Exploiting temporal information for 3D pose estimation

, 2018
In this work, we address the problem of 3D human pose estimation from a sequence of 2D human poses. Although the recent success of deep networks has led many state-of-the-art methods for 3D pose estimation to train deep networks end-to-end to predict ...
Alejandro Newell, C Barron, C Ionescu, D Mehta, F Bogo, G Mori, HJ Lee, L Bo, L Sigal, S Hochreiter, S Li, S Park, V Ramakrishna, X Zhou, Y Du   +14 more
core   +1 more source

THANet: Transferring Human Pose Estimation to Animal Pose Estimation

Electronics, 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, Jianzhong Xu, Yunhang Shen, Shaohui Lin   +3 more
openaire   +1 more source

Efficient Sampling of Two-Stage Multi-Person Pose Estimation and Tracking from Spatiotemporal

Applied Sciences
Tracking the articulated poses of multiple individuals in complex videos is a highly challenging task due to a variety of factors that compromise the accuracy of estimation and tracking.
Song Lin, Wenjun Hou
doaj   +1 more source

Fast Human Pose Estimation [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Existing human pose estimation approaches often only consider how to improve the model generalisation performance, but putting aside the significant efficiency problem. This leads to the development of heavy models with poor scalability and cost-effectiveness in practical use. In this work, we investigate the under-studied but practically critical pose
Feng Zhang, Xiatian Zhu, Mao Ye 0001
openaire   +2 more sources