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Advances in Visual Computing

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Cover of 'Advances in Visual Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Registration of Serial Cerebral Angiography: A Comparative Review
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    Chapter 2 Skull Stripping Using Confidence Segmentation Convolution Neural Network
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    Chapter 3 Skin Cancer Segmentation Using a Unified Markov Random Field
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    Chapter 4 Heart Modeling by Convexity Preserving Segmentation and Convex Shape Decomposition
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    Chapter 5 PSO-Based Newton-Like Method and Iteration Processes in the Generation of Artistic Patterns
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    Chapter 6 An Evaluation of Smoothing and Remeshing Techniques to Represent the Evolution of Real-World Phenomena
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    Chapter 7 Biomimetic Perception Learning for Human Sensorimotor Control
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    Chapter 8 Porous Structure Design in Tissue Engineering Using Anisotropic Radial Basis Functions
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    Chapter 9 Accurate and Efficient Non-Parametric Background Detection for Video Surveillance
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    Chapter 10 A Low-Power Neuromorphic System for Real-Time Visual Activity Recognition
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    Chapter 11 Video-Based Human Action Recognition Using Kernel Relevance Analysis
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    Chapter 12 Robust Incremental Hidden Conditional Random Fields for Human Action Recognition
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    Chapter 13 Rotation Symmetry Object Classification Using Structure Constrained Convolutional Neural Network
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    Chapter 14 A Hough Space Feature for Vehicle Detection
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    Chapter 15 Gender Classification Based on Facial Shape and Texture Features
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    Chapter 16 Authentication-Based on Biomechanics of Finger Movements Captured Using Optical Motion-Capture
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    Chapter 17 Specific Document Sign Location Detection Based on Point Matching and Clustering
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    Chapter 18 Training in Virtual Environments for Hybrid Power Plant
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    Chapter 19 Visualizing Viewpoint Movement on Driving by Space Information Rendering
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    Chapter 20 Virtual Reality System for Children Lower Limb Strengthening with the Use of Electromyographic Sensors
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    Chapter 21 A Comparative Study of Virtual UI for Risk Assessment and Evaluation
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    Chapter 22 Sensory Fusion and Intent Recognition for Accurate Gesture Recognition in Virtual Environments
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    Chapter 23 Accuracy of a Driver-Assistance System in a Collision Scenario
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    Chapter 24 Classify Broiler Viscera Using an Iterative Approach on Noisy Labeled Training Data
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    Chapter 25 Instance-level Object Recognition Using Deep Temporal Coherence
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    Chapter 26 DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification
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    Chapter 27 Particle Filter Based Tracking and Mapping
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    Chapter 28 Multi-branch Siamese Networks with Online Selection for Object Tracking
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    Chapter 29 Deep Convolutional Correlation Filters for Forward-Backward Visual Tracking
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    Chapter 30 The Bird Gets Caught by the WORM: Tracking Multiple Deformable Objects in Noisy Environments Using Weight ORdered Logic Maps
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    Chapter 31 A Mumford Shah Style Unified Framework for Layering: Pitfalls and Solutions
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    Chapter 32 Visualization of Parameter Sensitivity of 2D Time-Dependent Flow
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    Chapter 33 Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields
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    Chapter 34 Reduced-Reference Image Quality Assessment Based on Improved Local Binary Pattern
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    Chapter 35 Web System for Visualization of Weather Data of the Hydrometeorological Network of Tungurahua, Ecuador
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    Chapter 36 Analysis and Visualization of Sports Performance Anxiety in Tennis Matches
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    Chapter 37 Detailed Sentence Generation Architecture for Image Semantics Description
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    Chapter 38 Pupil Localization Using Geodesic Distance
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    Chapter 39 Parallel Curves Detection Using Multi-agent System
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    Chapter 40 Can Deep Learning Learn the Principle of Closed Contour Detection?
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    Chapter 41 DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking
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    Chapter 42 Convolutional Adaptive Particle Filter with Multiple Models for Visual Tracking
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    Chapter 43 Scale-Aware RPN for Vehicle Detection
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    Chapter 44 Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure
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    Chapter 45 Large Scale Application Response Time Measurement Using Image Recognition and Deep Learning
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    Chapter 46 Vision-Depth Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments
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    Chapter 47 Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition
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    Chapter 48 Patient’s Body Motion Study Using Multimodal RGBDT Videos
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    Chapter 49 Marker Based Thermal-Inertial Localization for Aerial Robots in Obscurant Filled Environments
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    Chapter 50 Shape-Based Smoothing of Binary Digital Objects Using Signed Distance Transform
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    Chapter 51 Patch-Based Potentials for Interactive Contour Extraction
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    Chapter 52 A New Algorithm for Local Blur-Scale Computation and Edge Detection
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    Chapter 53 Semantic Segmentation by Integrating Classifiers for Different Difficulty Levels
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    Chapter 54 Fast Image Dehazing Methods for Real-Time Video Processing
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    Chapter 55 GPU Accelerated Non-Parametric Background Subtraction
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    Chapter 56 Budget-Constrained Online Video Summarisation of Egocentric Video Using Control Charts
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    Chapter 57 p-Laplacian Regularization of Signals on Directed Graphs
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    Chapter 58 A Dense-Depth Representation for VLAD Descriptors in Content-Based Image Retrieval
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    Chapter 59 Augmented Reality System for Training and Assistance in the Management of Industrial Equipment and Instruments
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    Chapter 60 Alternative Treatment of Psychological Disorders Such as Spider Phobia Through Virtual Reality Environments
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    Chapter 61 The Skyline as a Marker for Augmented Reality in Urban Context
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    Chapter 62 Oil Processes VR Training
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    Chapter 63 Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector
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    Chapter 64 Autonomous Bus Boarding Robotic Wheelchair Using Bidirectional Sensing Systems
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    Chapter 65 Road User Abnormal Trajectory Detection Using a Deep Autoencoder
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    Chapter 66 Traffic Flow Classification Using Traffic Cameras
Overall attention for this book and its chapters
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Mentioned by

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6 X users
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Title
Advances in Visual Computing
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-030-03801-4
ISBNs
978-3-03-003800-7, 978-3-03-003801-4
Editors

George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Matt Turek, Srikumar Ramalingam, Kai Xu, Stephen Lin, Bilal Alsallakh, Jing Yang, Eduardo Cuervo, Jonathan Ventura

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Student > Ph. D. Student 3 27%
Student > Bachelor 1 9%
Other 1 9%
Professor 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 4 36%
Engineering 2 18%
Decision Sciences 1 9%
Mathematics 1 9%
Unknown 3 27%