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Visual and Camera Sensors
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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.

This book is included in DOAB.

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Keywords

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

Links

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

Editions

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