Results 241 to 250 of about 6,005,844 (276)

Hand PointNet: 3D Hand Pose Estimation Using Point Sets [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Convolutional Neural Network (CNN) has shown promising results for 3D hand pose estimation in depth images. Different from existing CNN-based hand pose estimation methods that take either 2D images or 3D volumes as the input, our proposed Hand PointNet directly processes the 3D point cloud that models the visible surface of the hand for pose regression.
Junwu Weng, Yujun Cai, Junsong Yuan
exaly   +6 more sources

SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation

Lecture Notes in Computer Science, 2020
3D hand pose estimation based on RGB images has been studied for a long time. Most of the studies, however, have performed frame-by-frame estimation based on independent static images.
Hyung Jin Chang, Nojun Kwak, Seungeui Lee   +2 more
exaly   +6 more sources

Real-Time 3D Hand Pose Estimation With 3D Convolutional Neural Networks [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
In this paper, we present a novel method for real-time 3D hand pose estimation from single depth images using 3D Convolutional Neural Networks (CNNs). Image-based features extracted by 2D CNNs are not directly suitable for 3D hand pose estimation due to the lack of 3D spatial information.
Daniel Thalmann, Junsong Yuan, Liuhao Ge
exaly   +4 more sources

Some of the next articles are maybe not open access.

Related searches:

PEAN: 3D Hand Pose Estimation Adversarial Network

2020 25th International Conference on Pattern Recognition (ICPR), 2021
Despite recent emerging research attention, 3D hand pose estimation still suffers from the problems of predicting inaccurate or invalid poses which conflict with physical and kinematic constraints. To address these problems, we propose a novel 3D hand pose estimation adversarial network (PEAN) which can implicitly utilize such constraints to regularize
Linhui Sun, Yifan Zhang 0001, Jian Cheng 0001, Hanqing Lu   +3 more
openaire   +2 more sources

Single-Frame Indexing for 3D Hand Pose Estimation

2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015
Hand pose estimation from 3D sensor data matches a point cloud to a hand model, and has broad applications from gestural interfaces to scene understanding. We propose a novel scheme to index into a database of precomputed hand poses to initialize the match.
Cassandra Carley, Carlo Tomasi
openaire   +2 more sources

Temporal Hints in 3D Hand Pose Estimation

2020 Chinese Automation Congress (CAC), 2020
Due to severe self-occlusions and complex articulated pose in hand motion, 3D hand pose estimation remains a challenging task. Most of the state-of-the-art approaches focus on how to extract spatial information effectively around the hand while ignoring the temporal consistency of hand motion, which may give hints on the locations of the occluded ...
Taidong Yu, Zhiguo Cao, Yang Xiao, Boshen Zhang, Zihao Zhu   +4 more
openaire   +1 more source

A Survey on 3D Hand Pose Estimation: Cameras, Methods, and Datasets

Pattern Recognition, 2019
Abstract 3D Hand pose estimation has received an increasing amount of attention, especially since consumer depth cameras came onto the market in 2010. Although substantial progress has occurred recently, no overview has kept up with the latest developments.
Rui Li, Zhenyu Liu
exaly   +2 more sources

Cascaded Point Network for 3D Hand Pose Estimation

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Recent PointNet-family hand pose methods have the advantages of high pose estimation performance and small model size, and it is a key problem to get effective sample points for PointNet-family methods. In this paper, we propose a two-stage coarse to fine hand pose estimation method, which belongs to PointNet-family methods and explores a new sample ...
Yikun Dou, Xuguang Wang, Yuying Zhu 0002, Xiaoming Deng 0001, Cuixia Ma, Liang Chang 0001, Hongan Wang   +6 more
openaire   +2 more sources

Database Indexing Methods for 3D Hand Pose Estimation

2004
Estimation of 3D hand pose is useful in many gesture recognition applications, ranging from human-computer interaction to recognition of sign languages. In this paper, 3D hand pose estimation is treated as a database indexing problem. Given an input image of a hand, the most similar images in a large database of hand images are retrieved. The hand pose
Athitsos, Vassilis, Sclaroff, Stan
openaire   +2 more sources

Fast 3D Hand Pose Estimation for Real-time System

2020 International SoC Design Conference (ISOCC), 2020
In this paper, we propose a novel system that estimates 3D coordinates of the hand joints from a single depth image using a convolutional neural network (CNN). The proposed system consists of the CNN-based feature extraction, and a regression neural network that estimates 3D joint coordinates.
Jae-Hun Song, Suk-Ju Kang
openaire   +2 more sources