Visual Sensors
Material type:
TextLanguage: English Publication details: MDPI - Multidisciplinary Digital Publishing Institute 2020Description: 1 online resource (738 p.)Content type: - text
- computer
- online resource
- 9783039283385
- 9783039283392
- books978-3-03928-339-2
- History of engineering and technology
- 3D ConvNets
- 3D reconstruction
- action localization
- action segmentation
- adaptive model
- adaptive update strategy
- advanced driver assistance system (ADAS)
- appearance based model
- appearance-temporal features
- around view monitor (AVM) system
- automated design
- automatic calibration
- background dictionary
- boosted decision tree
- calibration
- camera calibration
- camera pose
- catadioptric sensor
- checkerboard
- CLOSIB
- confidence response map
- consistent line clustering
- content-based image retrieval
- convolutional neural network
- convolutional neural network (CNN)
- correlation filters
- depth image registration
- depth vision
- digital image correlation
- dynamic programming
- ego-motion estimation
- embedded systems
- end-to-end architecture
- extrinsic calibration
- finger alphabet
- FOV
- fringe projection profilometry
- fused point and line feature matching
- geometric moments
- global feature descriptor
- Gray code
- GTAW
- handshape recognition
- human visual attention
- human visual system
- hybrid histogram descriptor
- illumination
- image binarization
- image mosaic
- image processing
- image retrieval
- indoor environment
- indoor visual SLAM
- inverse compositional Gauss-Newton algorithm
- iris recognition
- iris segmentation
- iterative closest point
- lane marking
- lane marking detection
- lane marking reconstruction
- large field of view
- laser sensor
- line scan camera
- Local Binary Patterns
- local parallel cross pattern
- LRF
- LSTM
- Manhattan frame estimation
- map representation
- measurement error
- mobile robots
- motif co-occurrence histogram
- motion estimation
- motion-aware
- n/a
- narrow butt joint
- neural network
- non-rigid reconstruction
- object recognition
- omnidirectional imaging
- optical flow
- orientation relevance
- parallel line
- parking assist system
- patrol robot
- pedestrian detection
- perceptually uniform histogram
- person re-identification
- pivotal frames
- planes intersection
- point cloud
- pose estimates
- pose estimation
- presentation attack detection
- quality control
- receptive field correspondence
- recognition algorithm
- regression based model
- RGB-D
- RGB-D sensor
- RGB-D SLAM
- Richardson-Lucy algorithm
- robot manipulation
- robotic welding
- robotics
- rotation-angle
- salient region detection
- scale invariance
- seam tracking
- seam-line
- semantic mapping
- semantic segmentation
- sensors combination
- Siamese network
- sign language
- simplified initialization strategy
- single-shot 3D shape measurement
- skeletal data
- SLAM
- soft decision tree
- spatial transformation
- speed measurement
- star image prediction
- star sensor
- statistical information of gray-levels differences
- stereo
- stereo camera
- stereo vision
- stereo-vision
- straight wing aircraft
- structure extraction
- support vector machine (SVM)
- support vector machines
- sweet pepper
- symmetry axis
- textile localization
- textile retrieval
- texture classification
- texture description
- texture retrieval
- tightly-coupled VIO
- UAV image
- underwater imaging
- vibration
- visible light and near-infrared light camera sensors
- vision system
- vision-guided robotic grasping
- visual detection
- visual information fusion
- visual localization
- visual mapping
- visual odometry
- visual sensor
- visual sensors
- Visual Sensors
- visual tracking
- warp function
Open Access Unrestricted online access star
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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https://creativecommons.org/licenses/by-nc-nd/4.0/
English
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