Results 221 to 230 of about 211,957 (254)

Segment-Based Hand Pose Estimation

The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005
The work presented here solves two major problems of hand pose recognition: (A) determining what pose is shown in a given, input picture and (B) detecting the presence of a known input pose in a given input video. It builds on the earlier work of Athitsos and Sclaroff (2003) toward solving problem A.
Christopher G. Schwarz, Niels da Vitoria Lobo   +1 more
openaire   +2 more sources

Static hand poses for gestural interaction

Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces, 2014
Gestural interaction leveraging the expressiveness of the human hand, either in touch or in air gestures has been a subject of much research. In this work, a user study focusing mainly on static hand poses has been conducted on a heterogeneous group of participants covering different aspects of this interaction method: role of the participants in the ...
SAIDINEJAD, HASSAN, TEIMOURIKIA, MAHSA, COMAI, SARA, SALICE, FABIO   +3 more
openaire   +1 more source

Real-Time Hand Pose Recognition

2015
What the reader should know to understand this chapter \(\bullet \) Color Models (Chap. 3). \(\bullet \) Learning Vector Quantization (Chap. 8).
CAMASTRA, Francesco, Vinciarelli, Alessandro   +1 more
openaire   +1 more source

3D Hand Pose Reconstruction with ISOSOM

2005
We present an appearance-based 3D hand posture estimation method that determines a ranked set of possible hand posture candidates from an unmarked hand image, based on an analysis by synthesis method and an image retrieval algorithm. We formulate the posture estimation problem as a nonlinear, many-to-many mapping problem in a high dimension space.
Haiying Guan, Matthew Turk 0001
openaire   +1 more source

Proactive Sensing for Improving Hand Pose Estimation

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
We propose a novel sensing technique called proactive sensing. Proactive sensing continually repositions a camera-based sensor as a way to improve hand pose estimation. Our core contribution is a scheme that effectively learns how to move the sensor to improve pose estimation confidence while requiring no ground truth hand poses.
Dun-Yu Hsiao, Min Sun 0001, Christy Ballweber, Seth Cooper, Zoran Popovic   +4 more
openaire   +1 more source

Hand pose estimation with multi-scale network

Applied Intelligence, 2017
Hand pose estimation plays an important role in human-computer interaction. Because it is a problem of high-dimensional nonlinear regression, the accuracy achieved by the existing methods of hand pose estimation are still unsatisfactory. With the development of deep neural networks, more and more people have begun to adopt the method involving deep ...
Zhongxu Hu, Youmin Hu, Bo Wu 0006, Jie Liu 0017, Dongmin Han, Thomas R. Kurfess   +5 more
openaire   +1 more source

Hand Pose Estimation with Attention-and-Sequence Network

2018
Hand pose estimation from depth images is an essential topic in computer vision. Despite the recent advancements in this area promoted by Convolutional Neural Network, accurate hand pose estimation is still a challenging problem. In this paper, we analyse the spatial relationship among hand joints, and discover that: (1) there exists independence of ...
Tianping Hu, Wenhai Wang, Tong Lu
openaire   +1 more source

Optimized convolutional pose machine for 2D hand pose estimation

Journal of Visual Communication and Image Representation, 2022
Tianhong Pan, Zheng Wang, Yuan Fan
openaire   +1 more source

Recurrent 3D Hand Pose Estimation Using Cascaded Pose-Guided 3D Alignments

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Xiaoming Deng, Zhaopeng Cui, Ping Tan
exaly  

Hand Pose Estimation

2020
Liuhao Ge, Junsong Yuan
openaire   +1 more source