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Computer Vision Systems

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Cover of 'Computer Vision Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Towards a Cloud Robotics Platform for Distributed Visual SLAM
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    Chapter 2 A Practical Visual Positioning Method for Industrial Overhead Crane Systems
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    Chapter 3 A Testbed for Vision-Based Networked Control Systems
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    Chapter 4 Visual Servoing of Wheeled Mobile Robots Under Dynamic Environment
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    Chapter 5 Towards Space Carving with a Hand-Held Camera
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    Chapter 6 Monocular Epipolar Constraint for Optical Flow Estimation
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    Chapter 7 Visual Servo Tracking Control of Quadrotor with a Cable Suspended Load
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    Chapter 8 Global Localization for Future Space Exploration Rovers
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    Chapter 9 Vision-Based Robot Path Planning with Deep Learning
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    Chapter 10 A Method for Improving Target Tracking Accuracy of Vehicle Radar
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    Chapter 11 A Robust RGB-D Image-Based SLAM System
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    Chapter 12 Robust Relocalization Based on Active Loop Closure for Real-Time Monocular SLAM
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    Chapter 13 On Scale Initialization in Non-overlapping Multi-perspective Visual Odometry
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    Chapter 14 A Vision Inspection System for the Defects of Resistance Spot Welding Based on Neural Network
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    Chapter 15 Resistance Welding Spot Defect Detection with Convolutional Neural Networks
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    Chapter 16 Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers
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    Chapter 17 A Surface Defect Detection Based on Convolutional Neural Network
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    Chapter 18 A Computer Vision System to Localize and Classify Wastes on the Streets
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    Chapter 19 Two Effective Algorithms for Color Image Denoising
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    Chapter 20 An Image Mosaic Method Based on Deviation Splitting and Transferring for Vehicle Panoramic System
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    Chapter 21 Edge Detection Using Convolutional Neural Networks for Nematode Development and Adaptation Analysis
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    Chapter 22 Dynamic Environments Localization via Dimensions Reduction of Deep Learning Features
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    Chapter 23 A Gesture Recognition Method Based on Binocular Vision System
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    Chapter 24 A Body Emotion-Based Human-Robot Interaction
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    Chapter 25 Robot’s Workspace Enhancement with Dynamic Human Presence for Socially-Aware Navigation
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    Chapter 26 Speaker Identification System Based on Lip-Motion Feature
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    Chapter 27 Integrating Stereo Vision with a CNN Tracker for a Person-Following Robot
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    Chapter 28 Recognition of Human Continuous Action with 3D CNN
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    Chapter 29 Multi-view Shape from Shading Constrained by Stereo Image Analysis
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    Chapter 30 A Wi-Fi Indoor Positioning Modeling Based on Location Fingerprint and Cluster Analysis
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    Chapter 31 A Real-Time and Energy-Efficient Embedded System for Intelligent ADAS with RNN-Based Deep Risk Prediction using Stereo Camera
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    Chapter 32 Open-Source Development of a Low-Cost Stereo-Endoscopy System for Natural Orifice Transluminal Endoscopic Surgery
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    Chapter 33 Self-adaptive Feature Fusion Method for Improving LBP for Face Identification
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    Chapter 34 Bridging Between Computer and Robot Vision Through Data Augmentation: A Case Study on Object Recognition
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    Chapter 35 Design and Optimization of the Model for Traffic Signs Classification Based on Convolutional Neural Networks
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    Chapter 36 Selection and Execution of Simple Actions via Visual Attention and Direct Parameter Specification
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    Chapter 37 Fully Convolutional Networks for Surface Defect Inspection in Industrial Environment
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    Chapter 38 The New Detection Algorithm for an Obstacle’s Information in Low Speed Vehicles
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    Chapter 39 Trajectory-Pooled Deep Convolutional Networks for Violence Detection in Videos
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    Chapter 40 Hybrid Distance Metric Learning for Real-Time Pedestrian Detection and Re-identification
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    Chapter 41 RGB-D Saliency Detection by Multi-stream Late Fusion Network
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    Chapter 42 A Cloud-Based Visual SLAM Framework for Low-Cost Agents
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    Chapter 43 Vision System for Robotized Weed Recognition in Crops and Grasslands
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    Chapter 44 Pedestrian Detection Over 100 fps with C4 Algorithm
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    Chapter 45 Fire and Smoke Dynamic Textures Characterization by Applying Periodicity Index Based on Motion Features
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    Chapter 46 A Novel Real-Time Gesture Recognition Algorithm for Human-Robot Interaction on the UAV
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    Chapter 47 Unsupervised Local Linear Preserving Manifold Reduction with Uncertainty Pretraining for Image Recognition
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    Chapter 48 Visual Tracking and Servoing System for Experiment of Optogenetic Control of Brain Activity
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    Chapter 49 Design and Implementation of the Three-Dimensional Observation System for Adult Zebrafish
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    Chapter 50 A Novel Visual Detecting and Positioning Method for Screw Holes
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    Chapter 51 Learning the Floor Type for Automated Detection of Dirt Spots for Robotic Floor Cleaning Using Gaussian Mixture Models
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    Chapter 52 Wind Disturbance Rejection in Position Control of Unmanned Helicopter by Nonlinear Damping
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    Chapter 53 Calibration of a Structured Light Measurement System Using Binary Shape Coding
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    Chapter 54 An Automatic 3D Textured Model Building Method Using Stripe Structured Light System
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    Chapter 55 An Efficient Method to Find a Triangle with the Least Sum of Distances from Its Vertices to the Covered Point
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    Chapter 56 An On-Line Calibration Technique for General Infrared Camera
Attention for Chapter 34: Bridging Between Computer and Robot Vision Through Data Augmentation: A Case Study on Object Recognition
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Chapter title
Bridging Between Computer and Robot Vision Through Data Augmentation: A Case Study on Object Recognition
Chapter number 34
Book title
Computer Vision Systems
Published by
Springer, Cham, July 2017
DOI 10.1007/978-3-319-68345-4_34
Book ISBNs
978-3-31-968344-7, 978-3-31-968345-4

Antonio D’Innocente, Fabio Maria Carlucci, Mirco Colosi, Barbara Caputo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 31%
Student > Master 4 14%
Student > Doctoral Student 3 10%
Professor 2 7%
Student > Bachelor 2 7%
Other 1 3%
Unknown 8 28%
Readers by discipline Count As %
Computer Science 10 34%
Engineering 7 24%
Agricultural and Biological Sciences 1 3%
Psychology 1 3%
Economics, Econometrics and Finance 1 3%
Other 2 7%
Unknown 7 24%