Reprint
Computer Vision and Machine Learning for Intelligent Sensing Systems
Edited by
June 2023
244 pages
- ISBN978-3-0365-7868-2 (Hardback)
- ISBN978-3-0365-7869-9 (PDF)
This book is a reprint of the Special Issue Computer Vision and Machine Learning for Intelligent Sensing Systems that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary
The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
mobile edge computaing; simultaneous wireless information and power transfer; energy minimization; 5G; wireless sensing network; IoT; fiber bragg grating; optical fiber sensor; distributed temperature sensor; deep learning algorithms; fully connected neural network; convolutional neural network; MADS dataset; human segmentation; human tracking; convolutional neural networks; targeted advertising; emotion-based recommendation; augmented reality; computer vision; deep learning; clustering; similarity measure; geodesic measure; Euclidean measure; depth fusion; TSDF; sensor noises; gaze estimation based on feature; eye landmark detection; self-attention; synthetic eye images; heuristic attention; perceptual grouping; self-supervised learning; visual representation learning; deep learning; computer vision; computer vision; intelligent sensors; robotics; event-based camera; contrast maximization; optical flow; motion estimation; human action recognition; graph neural network; attention module; big five personality traits; cultural algorithm; deep learning; hyper-parameter optimization; personality perception; online self-calibration; convolutional neural network; voxel information; n/a