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Visual Sensors

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 characteri...

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Bibliographic Details
Main Author:	Reinoso Garcia, Oscar
Other Authors:	Payá, Luis
Format:	eBook
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:	Visual Tracking Visual Mapping Structure Extraction Geometric Moments Visual Detection Narrow Butt Joint Robotic Welding Extrinsic Calibration Richardson-lucy Algorithm Textile Localization Finger Alphabet Mobile Robots Rotation-angle Consistent Line Clustering Iris Segmentation Around View Monitor (avm) System Rgb-d Sensor Semantic Mapping Skeletal Data Manhattan Frame Estimation Inverse Compositional Gauss-newton Algorithm Map Representation Siamese Network Pedestrian Detection Motion-aware Laser Sensor Texture Description Lane Marking Reconstruction Star Sensor Closib Motion Estimation Seam Tracking Scale Invariance Advanced Driver Assistance System (adas) Global Feature Descriptor Image Binarization Image Mosaic Slam Vibration Pose Estimation Illumination Simplified Initialization Strategy Support Vector Machine (svm) Texture Classification Boosted Decision Tree Soft Decision Tree Iris Recognition Sweet Pepper Content-based Image Retrieval Depth Image Registration Appearance-temporal Features Background Dictionary Camera Calibration Salient Region Detection Pose Estimates Robotics Rgb-d Slam Warp Function Rgb-d Digital Image Correlation Vision System Point Cloud Seam-line Omnidirectional Imaging Perceptually Uniform Histogram Action Segmentation Visual Sensors 3d Reconstruction Quality Control Textile Retrieval Straight Wing Aircraft Lrf Parking Assist System Line Scan Camera Lane Marking Detection Gray Code Correlation Filters Support Vector Machines End-to-end Architecture Orientation Relevance Texture Retrieval Stereo Vision Image Processing N/a Calibration Planes Intersection Visual Odometry Receptive Field Correspondence Regression Based Model Vision-guided Robotic Grasping Visible Light And Near-infrared Light Camera Sensors Non-rigid Reconstruction History Of Engineering And Technology / Bicssc Sign Language Speed Measurement Adaptive Model Stereo Camera Fringe Projection Profilometry Recognition Algorithm Lstm Embedded Systems Star Image Prediction Handshape Recognition 3d Convnets Action Localization Dynamic Programming Checkerboard Hybrid Histogram Descriptor Image Retrieval Spatial Transformation Large Field Of View Robot Manipulation Tightly-coupled Vio Underwater Imaging Stereo-vision Depth Vision Motif Co-occurrence Histogram Statistical Information Of Gray-levels Differences Visual Information Fusion Object Recognition Fused Point And Line Feature Matching Indoor Visual Slam Gtaw Catadioptric Sensor Uav Image Optical Flow Iterative Closest Point Person Re-identification Parallel Line Local Binary Patterns Human Visual Attention Indoor Environment Adaptive Update Strategy Automatic Calibration Single-shot 3d Shape Measurement Convolutional Neural Network (cnn) Semantic Segmentation Visual Localization Local Parallel Cross Pattern Symmetry Axis Automated Design Measurement Error Appearance Based Model Patrol Robot Camera Pose Convolutional Neural Network Confidence Response Map Fov Pivotal Frames Neural Network Sensors Combination Human Visual System Ego-motion Estimation Stereo Lane Marking Visual Sensor Presentation Attack Detection
Online Access:	https://directory.doabooks.org/handle/20.500.12854... https://www.mdpi.com/books/pdfview/book/2141
Collection:	Directory of Open Access Books - Collection details see MPG.ReNa

Description
Summary:	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.
Item Description:	Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
Physical Description:	1 electronic resource (738 p.)
ISBN:	books978-3-03928-339-2 9783039283392 9783039283385

Visual Sensors

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