Visual and Camera Sensors

doi:10.3390/books978-3-0365-1583-0

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Hardback

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Keywords

self-assembly device; 3D point clouds; accuracy analysis; VSLAM-photogrammetric algorithm; portable mobile mapping system; low-cost device; BIM; camera calibration; DLT; PnP; weighted DLT; uncertainty; covariance; robustness; visual-inertial; semi-direct SLAM; multi-sensor fusion; side-rear-view monitoring system; automatic online calibration; Hough-space; unmanned aerial vehicle; autonomous landing; deep-learning-based motion deblurring and marker detection; network slimming; pruning model; convolutional neural network; convolutional filter; classification; multimodal human recognition; blur image restoration; DeblurGAN; CNN; facial expression recognition system; computer vision; multi-scale featured local binary pattern; unsharp masking; machine learning; lens distortion; DoF-dependent; distortion partition; vision measurement; pathological site classification; in vivo endoscopy; computer-aided diagnosis; artificial intelligence; ensemble learning; convolutional auto-encoders; local image patch; point pair feature; plank recognition; robotic grasping; flying object detection; drone; convolutional neural network; image processing; camera networks; open-pit mine slope monitoring; optimum deployment; close range photogrammetry; three-dimensional reconstruction; OCD4M

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Visual and Camera Sensors

Edited by

September 2021

294 pages

ISBN978-3-0365-1584-7 (Hardback)
ISBN978-3-0365-1583-0 (PDF)

https://doi.org/10.3390/books978-3-0365-1583-0

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This is a Reprint of the Special Issue Visual and Camera Sensors that was published in

Chemistry & Materials Science

Engineering

Environmental & Earth Sciences

Summary

This book includes 13 papers published in Special Issue ("Visual and Camera Sensors") of the journal Sensors. The goal of this Special Issue was to invite high-quality, state-of-the-art research papers dealing with challenging issues in visual and camera sensors.