Visual and Camera Sensors

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.

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Bibliographic Details
Other Authors: Park, Kang Ryoung (Editor), Lee, Sangyoun (Editor), Kim, Euntai (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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DOAB: description of the publication
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041 0 |a English 
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072 7 |a KNTX  |2 bicssc 
100 1 |a Park, Kang Ryoung  |4 edt 
700 1 |a Lee, Sangyoun  |4 edt 
700 1 |a Kim, Euntai  |4 edt 
700 1 |a Park, Kang Ryoung  |4 oth 
700 1 |a Lee, Sangyoun  |4 oth 
700 1 |a Kim, Euntai  |4 oth 
245 1 0 |a Visual and Camera Sensors 
260 |a Basel, Switzerland  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2021 
300 |a 1 electronic resource (274 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. 
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546 |a English 
650 7 |a Information technology industries  |2 bicssc 
653 |a self-assembly device 
653 |a 3D point clouds 
653 |a accuracy analysis 
653 |a VSLAM-photogrammetric algorithm 
653 |a portable mobile mapping system 
653 |a low-cost device 
653 |a BIM 
653 |a camera calibration 
653 |a DLT 
653 |a PnP 
653 |a weighted DLT 
653 |a uncertainty 
653 |a covariance 
653 |a robustness 
653 |a visual-inertial 
653 |a semi-direct SLAM 
653 |a multi-sensor fusion 
653 |a side-rear-view monitoring system 
653 |a automatic online calibration 
653 |a Hough-space 
653 |a unmanned aerial vehicle 
653 |a autonomous landing 
653 |a deep-learning-based motion deblurring and marker detection 
653 |a network slimming 
653 |a pruning model 
653 |a convolutional neural network 
653 |a convolutional filter 
653 |a classification 
653 |a multimodal human recognition 
653 |a blur image restoration 
653 |a DeblurGAN 
653 |a CNN 
653 |a facial expression recognition system 
653 |a computer vision 
653 |a multi-scale featured local binary pattern 
653 |a unsharp masking 
653 |a machine learning 
653 |a lens distortion 
653 |a DoF-dependent 
653 |a distortion partition 
653 |a vision measurement 
653 |a pathological site classification 
653 |a in vivo endoscopy 
653 |a computer-aided diagnosis 
653 |a artificial intelligence 
653 |a ensemble learning 
653 |a convolutional auto-encoders 
653 |a local image patch 
653 |a point pair feature 
653 |a plank recognition 
653 |a robotic grasping 
653 |a flying object detection 
653 |a drone 
653 |a image processing 
653 |a camera networks 
653 |a open-pit mine slope monitoring 
653 |a optimum deployment 
653 |a close range photogrammetry 
653 |a three-dimensional reconstruction 
653 |a OCD4M 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/4285  |7 0  |z Get Fullteks 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/76836  |7 0  |z DOAB: description of the publication