J Hou, G Wang, X Chen, JH Xue… - Proceedings of the …, 2018 - openaccess.thecvf.com
Dynamic hand gesture recognition is a crucial yet challenging task in computer vision. The key of this task lies in an effective extraction of discriminative spatial and temporal features to …
Hand pose estimation from monocular depth images is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) …
M Ciecholewski - Archives of Computational Methods in Engineering, 2024 - Springer
Synthetic aperture radar (SAR) images acquired by airborne sensors or remote sensing satellites contain the necessary information that can be used to investigate various objects of …
X Chen, H Guo, G Wang… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Dynamic hand gesture recognition has attracted increasing interests because of its importance for human computer interaction. In this paper, we propose a new motion feature …
Z Yu, X Guo, H Lin, A Lumsdaine… - Proceedings of the IEEE …, 2013 - openaccess.thecvf.com
Light fields are image-based representations that use densely sampled rays as a scene description. In this paper, we explore geometric structures of 3D lines in ray space for …
Dynamic hand gesture recognition has attracted increasing attention because of its importance for human–computer interaction. In this paper, we propose a novel motion …
Abstract 3D hand pose estimation is an important and challenging problem for human- computer interaction. Recently convolutional networks (ConvNet) with sophisticated design …
3D hand pose estimation from single depth image is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with …
H Chen, G Wang, JH Xue, L He - Pattern Recognition, 2016 - Elsevier
In this paper, we propose a novel two-level hierarchical framework for three-dimensional (3D) skeleton-based action recognition, in order to tackle the challenges of high intra-class …