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Visual Sensors

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Titel: Visual Sensors
Autoren: Reinoso Garcia, Oscar, Payá, Luis
Verlagsinformationen: MDPI - Multidisciplinary Digital Publishing Institute, 2020.
Publikationsjahr: 2020
Schlagwörter: orientation relevance, sweet pepper, lane marking reconstruction, convolutional neural network, stereo-vision, single-shot 3D shape measurement, star image prediction, human visual system, support vector machines, motion estimation, patrol robot, mobile robots, iris recognition, motif co-occurrence histogram, advanced driver assistance system (ADAS), sign language, Gray code, appearance-temporal features, depth vision, fused point and line feature matching, robotics, FOV, image mosaic, visible light and near-infrared light camera sensors, illumination, indoor visual SLAM, textile localization, confidence response map, recognition algorithm, SLAM, inverse compositional Gauss-Newton algorithm, planes intersection, support vector machine (SVM), camera pose, TA1-2040, vibration, LSTM, camera calibration, iterative closest point, point cloud, appearance based model, statistical information of gray-levels differences, ego-motion estimation, catadioptric sensor, RGB-D sensor, warp function, texture description, image retrieval, texture retrieval, optical flow, action segmentation, visual odometry, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology, automatic calibration, digital image correlation, 3D reconstruction, receptive field correspondence, visual detection, visual information fusion, Visual Sensors, semantic mapping, fringe projection profilometry, pedestrian detection, Siamese network, star sensor, visual tracking, lane marking, semantic segmentation, robot manipulation, n/a, end-to-end architecture, sensors combination, hybrid histogram descriptor, Richardson-Lucy algorithm, background dictionary, parallel line, rotation-angle, spatial transformation, human visual attention, scale invariance, action localization, indoor environment, robotic welding, speed measurement, depth image registration, Local Binary Patterns, laser sensor, stereo camera, image binarization, visual mapping, UAV image, underwater imaging, correlation filters, structure extraction, regression based model, dynamic programming, person re-identification, 3D ConvNets, convolutional neural network (CNN), geometric moments, pivotal frames, simplified initialization strategy, checkerboard, RGB-D, map representation, soft decision tree, stereo vision, CLOSIB, finger alphabet, large field of view, salient region detection, omnidirectional imaging, embedded systems, skeletal data, tightly-coupled VIO, Manhattan frame estimation, neural network, consistent line clustering, adaptive update strategy, textile retrieval, seam-line, pose estimation, lane marking detection, object recognition, vision system, presentation attack detection, content-based image retrieval, seam tracking, T1-995, vision-guided robotic grasping, quality control, automated design, GTAW, line scan camera, visual sensors, non-rigid reconstruction, stereo, adaptive model, extrinsic calibration, iris segmentation, calibration, symmetry axis, straight wing aircraft, image processing, around view monitor (AVM) system, motion-aware, handshape recognition, local parallel cross pattern, narrow butt joint, pose estimates, perceptually uniform histogram, LRF, visual sensor, visual localization, boosted decision tree, texture classification, parking assist system, global feature descriptor, measurement error, RGB-D SLAM
Beschreibung: Visual sensors are able to capture a large quantity of information from the environment around them. A wide variety of visual systems can be found, from the classical monocular systems to omnidirectional, RGB-D, and more sophisticated 3D systems. Every configuration presents some specific characteristics that make them useful for solving different problems. Their range of applications is wide and varied, including robotics, industry, agriculture, quality control, visual inspection, surveillance, autonomous driving, and navigation aid systems. In this book, several problems that employ visual sensors are presented. Among them, we highlight visual SLAM, image retrieval, manipulation, calibration, object recognition, navigation, etc.
Publikationsart: Book
Dateibeschreibung: application/octet-stream
Sprache: English
Zugangs-URL: https://mdpi.com/books/pdfview/book/2141
https://directory.doabooks.org/handle/20.500.12854/62289
Rights: CC BY NC ND
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IllustrationInfo
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  Label: Title
  Group: Ti
  Data: Visual Sensors
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Reinoso+Garcia%2C+Oscar%22">Reinoso Garcia, Oscar</searchLink><br /><searchLink fieldCode="AR" term="%22Payá%2C+Luis%22">Payá, Luis</searchLink>
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: MDPI - Multidisciplinary Digital Publishing Institute, 2020.
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2020
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22orientation+relevance%22">orientation relevance</searchLink><br /><searchLink fieldCode="DE" term="%22sweet+pepper%22">sweet pepper</searchLink><br /><searchLink fieldCode="DE" term="%22lane+marking+reconstruction%22">lane marking reconstruction</searchLink><br /><searchLink fieldCode="DE" term="%22convolutional+neural+network%22">convolutional neural network</searchLink><br /><searchLink fieldCode="DE" term="%22stereo-vision%22">stereo-vision</searchLink><br /><searchLink fieldCode="DE" term="%22single-shot+3D+shape+measurement%22">single-shot 3D shape measurement</searchLink><br /><searchLink fieldCode="DE" term="%22star+image+prediction%22">star image prediction</searchLink><br /><searchLink fieldCode="DE" term="%22human+visual+system%22">human visual system</searchLink><br /><searchLink fieldCode="DE" term="%22support+vector+machines%22">support vector machines</searchLink><br /><searchLink fieldCode="DE" 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fieldCode="DE" term="%22semantic+segmentation%22">semantic segmentation</searchLink><br /><searchLink fieldCode="DE" term="%22robot+manipulation%22">robot manipulation</searchLink><br /><searchLink fieldCode="DE" term="%22n%2Fa%22">n/a</searchLink><br /><searchLink fieldCode="DE" term="%22end-to-end+architecture%22">end-to-end architecture</searchLink><br /><searchLink fieldCode="DE" term="%22sensors+combination%22">sensors combination</searchLink><br /><searchLink fieldCode="DE" term="%22hybrid+histogram+descriptor%22">hybrid histogram descriptor</searchLink><br /><searchLink fieldCode="DE" term="%22Richardson-Lucy+algorithm%22">Richardson-Lucy algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22background+dictionary%22">background dictionary</searchLink><br /><searchLink fieldCode="DE" term="%22parallel+line%22">parallel line</searchLink><br /><searchLink fieldCode="DE" term="%22rotation-angle%22">rotation-angle</searchLink><br /><searchLink fieldCode="DE" 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SLAM</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Visual sensors are able to capture a large quantity of information from the environment around them. A wide variety of visual systems can be found, from the classical monocular systems to omnidirectional, RGB-D, and more sophisticated 3D systems. Every configuration presents some specific characteristics that make them useful for solving different problems. Their range of applications is wide and varied, including robotics, industry, agriculture, quality control, visual inspection, surveillance, autonomous driving, and navigation aid systems. In this book, several problems that employ visual sensors are presented. Among them, we highlight visual SLAM, image retrieval, manipulation, calibration, object recognition, navigation, etc.
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– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://mdpi.com/books/pdfview/book/2141" linkWindow="_blank">https://mdpi.com/books/pdfview/book/2141</link><br /><link linkTarget="URL" linkTerm="https://directory.doabooks.org/handle/20.500.12854/62289" linkWindow="_blank">https://directory.doabooks.org/handle/20.500.12854/62289</link>
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  Data: CC BY NC ND
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  Data: edsair.b80157a7a16b..3a20bf2a08dbb10c024c65fceadbf6c3
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: orientation relevance
        Type: general
      – SubjectFull: sweet pepper
        Type: general
      – SubjectFull: lane marking reconstruction
        Type: general
      – SubjectFull: convolutional neural network
        Type: general
      – SubjectFull: stereo-vision
        Type: general
      – SubjectFull: single-shot 3D shape measurement
        Type: general
      – SubjectFull: star image prediction
        Type: general
      – SubjectFull: human visual system
        Type: general
      – SubjectFull: support vector machines
        Type: general
      – SubjectFull: motion estimation
        Type: general
      – SubjectFull: patrol robot
        Type: general
      – SubjectFull: mobile robots
        Type: general
      – SubjectFull: iris recognition
        Type: general
      – SubjectFull: motif co-occurrence histogram
        Type: general
      – SubjectFull: advanced driver assistance system (ADAS)
        Type: general
      – SubjectFull: sign language
        Type: general
      – SubjectFull: Gray code
        Type: general
      – SubjectFull: appearance-temporal features
        Type: general
      – SubjectFull: depth vision
        Type: general
      – SubjectFull: fused point and line feature matching
        Type: general
      – SubjectFull: robotics
        Type: general
      – SubjectFull: FOV
        Type: general
      – SubjectFull: image mosaic
        Type: general
      – SubjectFull: visible light and near-infrared light camera sensors
        Type: general
      – SubjectFull: illumination
        Type: general
      – SubjectFull: indoor visual SLAM
        Type: general
      – SubjectFull: textile localization
        Type: general
      – SubjectFull: confidence response map
        Type: general
      – SubjectFull: recognition algorithm
        Type: general
      – SubjectFull: SLAM
        Type: general
      – SubjectFull: inverse compositional Gauss-Newton algorithm
        Type: general
      – SubjectFull: planes intersection
        Type: general
      – SubjectFull: support vector machine (SVM)
        Type: general
      – SubjectFull: camera pose
        Type: general
      – SubjectFull: TA1-2040
        Type: general
      – SubjectFull: vibration
        Type: general
      – SubjectFull: LSTM
        Type: general
      – SubjectFull: camera calibration
        Type: general
      – SubjectFull: iterative closest point
        Type: general
      – SubjectFull: point cloud
        Type: general
      – SubjectFull: appearance based model
        Type: general
      – SubjectFull: statistical information of gray-levels differences
        Type: general
      – SubjectFull: ego-motion estimation
        Type: general
      – SubjectFull: catadioptric sensor
        Type: general
      – SubjectFull: RGB-D sensor
        Type: general
      – SubjectFull: warp function
        Type: general
      – SubjectFull: texture description
        Type: general
      – SubjectFull: image retrieval
        Type: general
      – SubjectFull: texture retrieval
        Type: general
      – SubjectFull: optical flow
        Type: general
      – SubjectFull: action segmentation
        Type: general
      – SubjectFull: visual odometry
        Type: general
      – SubjectFull: thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
        Type: general
      – SubjectFull: automatic calibration
        Type: general
      – SubjectFull: digital image correlation
        Type: general
      – SubjectFull: 3D reconstruction
        Type: general
      – SubjectFull: receptive field correspondence
        Type: general
      – SubjectFull: visual detection
        Type: general
      – SubjectFull: visual information fusion
        Type: general
      – SubjectFull: Visual Sensors
        Type: general
      – SubjectFull: semantic mapping
        Type: general
      – SubjectFull: fringe projection profilometry
        Type: general
      – SubjectFull: pedestrian detection
        Type: general
      – SubjectFull: Siamese network
        Type: general
      – SubjectFull: star sensor
        Type: general
      – SubjectFull: visual tracking
        Type: general
      – SubjectFull: lane marking
        Type: general
      – SubjectFull: semantic segmentation
        Type: general
      – SubjectFull: robot manipulation
        Type: general
      – SubjectFull: n/a
        Type: general
      – SubjectFull: end-to-end architecture
        Type: general
      – SubjectFull: sensors combination
        Type: general
      – SubjectFull: hybrid histogram descriptor
        Type: general
      – SubjectFull: Richardson-Lucy algorithm
        Type: general
      – SubjectFull: background dictionary
        Type: general
      – SubjectFull: parallel line
        Type: general
      – SubjectFull: rotation-angle
        Type: general
      – SubjectFull: spatial transformation
        Type: general
      – SubjectFull: human visual attention
        Type: general
      – SubjectFull: scale invariance
        Type: general
      – SubjectFull: action localization
        Type: general
      – SubjectFull: indoor environment
        Type: general
      – SubjectFull: robotic welding
        Type: general
      – SubjectFull: speed measurement
        Type: general
      – SubjectFull: depth image registration
        Type: general
      – SubjectFull: Local Binary Patterns
        Type: general
      – SubjectFull: laser sensor
        Type: general
      – SubjectFull: stereo camera
        Type: general
      – SubjectFull: image binarization
        Type: general
      – SubjectFull: visual mapping
        Type: general
      – SubjectFull: UAV image
        Type: general
      – SubjectFull: underwater imaging
        Type: general
      – SubjectFull: correlation filters
        Type: general
      – SubjectFull: structure extraction
        Type: general
      – SubjectFull: regression based model
        Type: general
      – SubjectFull: dynamic programming
        Type: general
      – SubjectFull: person re-identification
        Type: general
      – SubjectFull: 3D ConvNets
        Type: general
      – SubjectFull: convolutional neural network (CNN)
        Type: general
      – SubjectFull: geometric moments
        Type: general
      – SubjectFull: pivotal frames
        Type: general
      – SubjectFull: simplified initialization strategy
        Type: general
      – SubjectFull: checkerboard
        Type: general
      – SubjectFull: RGB-D
        Type: general
      – SubjectFull: map representation
        Type: general
      – SubjectFull: soft decision tree
        Type: general
      – SubjectFull: stereo vision
        Type: general
      – SubjectFull: CLOSIB
        Type: general
      – SubjectFull: finger alphabet
        Type: general
      – SubjectFull: large field of view
        Type: general
      – SubjectFull: salient region detection
        Type: general
      – SubjectFull: omnidirectional imaging
        Type: general
      – SubjectFull: embedded systems
        Type: general
      – SubjectFull: skeletal data
        Type: general
      – SubjectFull: tightly-coupled VIO
        Type: general
      – SubjectFull: Manhattan frame estimation
        Type: general
      – SubjectFull: neural network
        Type: general
      – SubjectFull: consistent line clustering
        Type: general
      – SubjectFull: adaptive update strategy
        Type: general
      – SubjectFull: textile retrieval
        Type: general
      – SubjectFull: seam-line
        Type: general
      – SubjectFull: pose estimation
        Type: general
      – SubjectFull: lane marking detection
        Type: general
      – SubjectFull: object recognition
        Type: general
      – SubjectFull: vision system
        Type: general
      – SubjectFull: presentation attack detection
        Type: general
      – SubjectFull: content-based image retrieval
        Type: general
      – SubjectFull: seam tracking
        Type: general
      – SubjectFull: T1-995
        Type: general
      – SubjectFull: vision-guided robotic grasping
        Type: general
      – SubjectFull: quality control
        Type: general
      – SubjectFull: automated design
        Type: general
      – SubjectFull: GTAW
        Type: general
      – SubjectFull: line scan camera
        Type: general
      – SubjectFull: visual sensors
        Type: general
      – SubjectFull: non-rigid reconstruction
        Type: general
      – SubjectFull: stereo
        Type: general
      – SubjectFull: adaptive model
        Type: general
      – SubjectFull: extrinsic calibration
        Type: general
      – SubjectFull: iris segmentation
        Type: general
      – SubjectFull: calibration
        Type: general
      – SubjectFull: symmetry axis
        Type: general
      – SubjectFull: straight wing aircraft
        Type: general
      – SubjectFull: image processing
        Type: general
      – SubjectFull: around view monitor (AVM) system
        Type: general
      – SubjectFull: motion-aware
        Type: general
      – SubjectFull: handshape recognition
        Type: general
      – SubjectFull: local parallel cross pattern
        Type: general
      – SubjectFull: narrow butt joint
        Type: general
      – SubjectFull: pose estimates
        Type: general
      – SubjectFull: perceptually uniform histogram
        Type: general
      – SubjectFull: LRF
        Type: general
      – SubjectFull: visual sensor
        Type: general
      – SubjectFull: visual localization
        Type: general
      – SubjectFull: boosted decision tree
        Type: general
      – SubjectFull: texture classification
        Type: general
      – SubjectFull: parking assist system
        Type: general
      – SubjectFull: global feature descriptor
        Type: general
      – SubjectFull: measurement error
        Type: general
      – SubjectFull: RGB-D SLAM
        Type: general
    Titles:
      – TitleFull: Visual Sensors
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Reinoso Garcia, Oscar
      – PersonEntity:
          Name:
            NameFull: Payá, Luis
      – PersonEntity:
          Name:
            NameFull: Reinoso Garcia, Oscar
      – PersonEntity:
          Name:
            NameFull: Payá, Luis
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-locals
              Value: edsair
            – Type: issn-locals
              Value: edsairFT
          Titles:
            – TitleFull: Visual Sensors
              Type: main
ResultId 1