Results 31 to 40 of about 148,198 (270)
Deep Neural Network for 3D Shape Classification Based on Mesh Feature
Sensors, 2022 Virtual reality, driverless cars, and robotics all make extensive use of 3D shape classification. One of the most popular ways to represent 3D data is with polygonal meshes. In particular, triangular mesh is frequently employed.
Mengran Gao +3 more
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3D CAD model classification based on Convolutional Neural Network
Journal of Harbin University of Science and Technology, 2020 Due to the intrinsic complexity of 3D CAD models, the automatic model classification methods are scarce. In this paper, an automatic 3D CAD model classification approach based on Convolutional Neural Network (CNN) is proposed.
DING Bo, YI Ming
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3D gesture classification with convolutional neural networks [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 In this paper, we present an approach that classifies 3D gestures using jointly accelerometer and gyroscope signals from a mobile device. The proposed method is based on a convolutional neural network with a specific structure involving a combination of 1D convolution, averaging, and max-pooling operations. It directly classifies the fixed-length input
Duffner, Stefan +3 more
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Behavior Recognition Algorithm Based on the Fusion of SE-R3D and LSTM Network
IEEE Access, 2021 In view of the fact that the existing behavior recognition algorithms cannot fully extract abstract behavior features, this paper proposes a SE-R3D-LSTM behavior recognition algorithm based on 3D residual convolutional neural network (R3D), which ...
Jin Wu +3 more
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Research on 3D Reconstruction of Furniture Based on Differentiable Renderer
IEEE Access, 2022 Due to the self-obscuration, traditional 3D reconstruction algorithms have difficulty in recovering the 3D structure of an object from a single image. With the rapid development of convolutional neural networks, 3D reconstruction based on deep learning ...
Yalin Miao +3 more
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Information, 2020 A micro-expression is defined as an uncontrollable muscular movement shown on the face of humans when one is trying to conceal or repress his true emotions.
Boyu Chen +5 more
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3D multi-view convolutional neural networks for lung nodule classification. [PDF]
PLoS ONE, 2017 The 3D convolutional neural network (CNN) is able to make full use of the spatial 3D context information of lung nodules, and the multi-view strategy has been shown to be useful for improving the performance of 2D CNN in classifying lung nodules. In this
Guixia Kang +3 more
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, 2017 The three-dimensional Anderson model is a well-studied model of disordered electron systems that shows the delocalization--localization transition. As in our previous papers on two- and three-dimensional (2D, 3D) quantum phase transitions [J. Phys.
Mano, Tomohiro, Ohtsuki, Tomi
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DTV-CNN: Neural network based on depth and thickness views for efficient 3D shape classification
Heliyon, 2023 Fast and effective algorithms for deep learning on 3D shapes are keys to innovate mechanical and electronic engineering design workflow. In this paper, an efficient 3D shape to 2D images projection algorithm and a shallow 2.5D convolutional neural ...
Qingfeng Xia
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Fully automated condyle segmentation using 3D convolutional neural networks
Scientific Reports, 2022 AbstractThe aim of this study was to develop an auto-segmentation algorithm for mandibular condyle using the 3D U-Net and perform a stress test to determine the optimal dataset size for achieving clinically acceptable accuracy. 234 cone-beam computed tomography images of mandibular condyles were acquired from 117 subjects from two institutions, which ...
Nayansi Jha +6 more
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