Results 21 to 30 of about 1,313 (183)
Hand Gesture Recognition for Sign Language Using 3DCNN [PDF]
IEEE Access, 2020 Recently, automatic hand gesture recognition has gained increasing importance for two principal reasons: the growth of the deaf and hearing-impaired population, and the development of vision-based applications and touchless control on ubiquitous devices.
Muneer Al-Hammadi +5 more
doaj +2 more sources
Plant Methods, 2023 Background Pumpkin seeds are major oil crops with high nutritional value and high oil content. The collection and identification of different pumpkin germplasm resources play a significant role in the realization of precision breeding and variety ...
Xiyao Li +8 more
doaj +2 more sources
Multiple Spectral Resolution 3D Convolutional Neural Network for Hyperspectral Image Classification
Remote Sensing, 2021 In recent years, benefiting from the rapid development of deep learning technology in the field of computer vision, the study of hyperspectral image (HSI) classification has also made great progress.
Hao Xu, Wei Yao, Li Cheng, Bo Li
doaj +2 more sources
Low Frequency Vibration Visual Monitoring System Based on Multi-Modal 3DCNN-ConvLSTM
Sensors, 2020 Low frequency vibration monitoring has significant implications on environmental safety and engineering practices. Vibration expressed by visual information should contain sufficient spatial information.
Alimina Alimasi +2 more
doaj +2 more sources
Strong Spatiotemporal Radar Echo Nowcasting Combining 3DCNN and Bi-Directional Convolutional LSTM
Atmosphere, 2020 In order to solve the existing problems of easy spatiotemporal information loss and low forecast accuracy in traditional radar echo nowcasting, this paper proposes an encoding-forecasting model (3DCNN-BCLSTM) combining 3DCNN and bi-directional ...
Suting Chen +5 more
doaj +2 more sources
Continuous Gesture Segmentation and Recognition Using 3DCNN and Convolutional LSTM
IEEE Transactions on Multimedia, 2019 Continuous gesture recognition aims at recognizing the ongoing gestures from continuous gesture sequences and is more meaningful for the scenarios, where the start and end frames of each gesture instance are generally unknown in practical applications. This paper presents an effective deep architecture for continuous gesture recognition.
Guangming Zhu 0001 +5 more
openaire +2 more sources
3DCNN Performance in Hand Gesture Recognition Applied to Robot Arm Interaction [PDF]
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019 In the past, methods for hand sign recognition have been successfully tested in Human Robot Interaction (HRI) using traditional methodologies based on static image features and machine learning. However, the recognition of gestures in video sequences is a problem still open, because current detection methods achieve low scores when the background is ...
John Alejandro Castro-Vargas +4 more
openaire +5 more sources
HYPERSPECTRAL IMAGE CLASSIFICATION ON AMULTISCALE 3D CONVOLUTIONAL NEURAL NETWORK [PDF]
Tạp chí Khoa học Đại học Đà LạtIn the past decade, significant progress has been made in hyperspectral image (HSI) classification due to advances in deep learning techniques.
Duy Quy Thai +2 more
doaj +2 more sources
International Journal of Digital EarthAccurate simulation of land use/cover change (LUCC) is crucial for societal development. LUCC is a nonlinear spatiotemporal process with complicated relationships and latent dependencies on spatial and temporal neighborhoods.
Wei Yang +3 more
doaj +2 more sources
Surgical workflow recognition with 3DCNN for Sleeve Gastrectomy [PDF]
International Journal of Computer Assisted Radiology and Surgery, 2021 Abstract Purpose Surgical workflow recognition is a crucial and challenging problem when building a computer-assisted surgery system. Current techniques focus on utilizing a convolutional neural network and a recurrent neural network (CNN–RNN) to solve the surgical workflow recognition problem.
Bokai Zhang +4 more
openaire +2 more sources