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

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September 2021

294 pages

ISBN 978-3-0365-1584-7 (Hardback)
ISBN 978-3-0365-1583-0 (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

Engineering

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.