Results 61 to 70 of about 556,231 (187)
Iterative Pose Refinement for Object Pose Estimation Based on RGBD Data
Sensors, 2020 Accurate estimation of 3D object pose is highly desirable in a wide range of applications, such as robotics and augmented reality. Although significant advancement has been made for pose estimation, there is room for further improvement.
Shao-Kang Huang +3 more
doaj +1 more source
Human Pose Estimation Using Deep Learning: A Systematic Literature Review
Machine Learning and Knowledge Extraction, 2023 Human Pose Estimation (HPE) is the task that aims to predict the location of human joints from images and videos. This task is used in many applications, such as sports analysis and surveillance systems.
Esraa Samkari +3 more
doaj +1 more source
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning
, 2017 State-of-the-art computer vision algorithms often achieve efficiency by making discrete choices about which hypotheses to explore next. This allows allocation of computational resources to promising candidates, however, such decisions are non ...
Brachmann, Eric +5 more
core +1 more source
Unsupervised Learning of Depth and Ego-Motion from Video
, 2017 We present an unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences. We achieve this by simultaneously training depth and camera pose estimation networks using the task of view ...
Brown, Matthew +3 more
core +1 more source
Shift Pose: A Lightweight Transformer-like Neural Network for Human Pose Estimation
Sensors, 2022 High-performing, real-time pose detection and tracking in real-time will enable computers to develop a finer-grained and more natural understanding of human behavior. However, the implementation of real-time human pose estimation remains a challenge.
Haijian Chen, Xinyun Jiang, Yonghui Dai
doaj +1 more source
Convex Relaxations of SE(2) and SE(3) for Visual Pose Estimation [PDF]
, 2014 This paper proposes a new method for rigid body pose estimation based on spectrahedral representations of the tautological orbitopes of $SE(2)$ and $SE(3)$.
Burdick, Joel W. +2 more
core +1 more source
, 2018 Most of the existing deep learning-based methods for 3D hand and human pose estimation from a single depth map are based on a common framework that takes a 2D depth map and directly regresses the 3D coordinates of keypoints, such as hand or human body ...
Chang, Ju Yong +2 more
core +1 more source
Deep probabilistic human pose estimation
IET Computer Vision, 2018 The authors consider the problem of human pose estimation using probabilistic convolutional neural networks. They explore ways to improve human pose estimation accuracy on standard pose estimation benchmarks MPII human pose and Leeds Sports Pose (LSP ...
Ilia Petrov +2 more
doaj +1 more source
Efficient 2D-3D Matching for Multi-Camera Visual Localization
, 2019 Visual localization, i.e., determining the position and orientation of a vehicle with respect to a map, is a key problem in autonomous driving. We present a multicamera visual inertial localization algorithm for large scale environments.
Cui, Zhaopeng +4 more
core +1 more source
Human Pose Estimation using Deep Consensus Voting
, 2016 In this paper we consider the problem of human pose estimation from a single still image. We propose a novel approach where each location in the image votes for the position of each keypoint using a convolutional neural net.
DH Ballard +7 more
core +1 more source