Computer Vision and Machine Learning for Intelligent Sensing Systems

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Computer science; Information technology industries; 5G; attention module; augmented reality; big five personality traits; clustering; computer vision; contrast maximization; convolutional neural network; convolutional neural networks; cultural algorithm; deep learning; deep learning algorithms; depth fusion; distributed temperature sensor; emotion-based recommendation; energy minimization; Euclidean measure; event-based camera; eye landmark detection; fiber bragg grating; fully connected neural network; gaze estimation based on feature; geodesic measure; graph neural network; heuristic attention; human action recognition; human segmentation; human tracking; hyper-parameter optimization; intelligent sensors; IoT; MADS dataset; mobile edge computaing; motion estimation; n/a; online self-calibration; optical fiber sensor; optical flow; perceptual grouping; personality perception; robotics; self-attention; self-supervised learning; sensor noises; similarity measure; simultaneous wireless information and power transfer; synthetic eye images; targeted advertising; TSDF; visual representation learning; voxel information; wireless sensing network
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (244 p.)
• ISBN: 9783036578682; 9783036578699; books978-3-0365-7869-9
• Access: Open Access

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.