Results 11 to 20 of about 6,781,577 (302)
An Optimized Convolutional Neural Network for the 3D Point-Cloud Compression [PDF]
Due to the tremendous volume taken by the 3D point-cloud models, knowing how to achieve the balance between a high compression ratio, a low distortion rate, and computing cost in point-cloud compression is a significant issue in the field of virtual ...
Guoliang Luo +6 more
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Facial expression recognition (FER) under active near-infrared (NIR) illumination has the advantages of illumination invariance. In this paper, we propose a three-stream 3D convolutional neural network, named as NIRExpNet for NIR FER. The 3D structure of
Zhan Wu +4 more
doaj +2 more sources
Image Super-Resolution for MRI Images using 3D Faster Super-Resolution Convolutional Neural Network architecture [PDF]
Single image super-resolution using deep learning techniques has shown very high reconstruction performance over the last few years. We propose a novel three-dimensional convolutional neural network called 3D FSRCNN based on FSRCNN, which reinstates the ...
Mane Vanita, Jadhav Suchit, Lal Praneya
doaj +2 more sources
3D freeform surfaces from planar sketches using neural networks [PDF]
A novel intelligent approach into 3D freeform surface reconstruction from planar sketches is proposed. A multilayer perceptron (MLP) neural network is employed to induce 3D freeform surfaces from planar freehand curves.
Terchi, A +14 more
core +5 more sources
Augmented Reality based 3D Human Hands Tracking from Monocular True Images Using Convolutional Neural Network [PDF]
Precise modeling of hand tracking from monocular moving camera calibration parameters using semantic cues is an active area of research concern for the researchers due to lack of accuracy and computational overheads.
Saif, A F M Saifuddin +1 more
core +1 more source
3D gesture classification with convolutional neural networks [PDF]
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
Stefan Duffner +3 more
openaire +2 more sources
Resource Efficient 3D Convolutional Neural Networks [PDF]
Recently, convolutional neural networks with 3D kernels (3D CNNs) have been very popular in computer vision community as a result of their superior ability of extracting spatio-temporal features within video frames compared to 2D CNNs. Although there has been great advances recently to build resource efficient 2D CNN architectures considering memory ...
Okan Köpüklü +3 more
openaire +3 more sources
Accurate Recognition and Simulation of 3D Visual Image of Aerobics Movement
The structure of the deep artificial neural network is similar to the structure of the biological neural network, which can be well applied to the 3D visual image recognition of aerobics movements.
Wenhua Fan, Hyun Joo Min
doaj +1 more source
Alzheimer’s disease Detection: A deep Learning-based Approach
Mental health is an important part of a successful life for a person whether elderly, children, or young. Alzheimer’s is a fatal brain disease that severely damages the human brain, especially in the elderly. One way to prevent Alzheimer's disease is by
Muhammad Wasim
doaj +1 more source
3D Pose Regression Using Convolutional Neural Networks [PDF]
3D pose estimation is a key component of many important computer vision tasks such as autonomous navigation and 3D scene understanding. Most state-of-the-art approaches to 3D pose estimation solve this problem as a pose-classification problem in which the pose space is discretized into bins and a CNN classifier is used to predict a pose bin.
Siddharth Mahendran +2 more
openaire +4 more sources

