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Frontiers of Computer Vision

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Cover of 'Frontiers of Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 Efficient and Fast Traffic Congestion Classification Based on Video Dynamics and Deep Residual Network
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    Chapter 2 Early Wildfire Detection Using Convolutional Neural Network
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    Chapter 3 Deep Matting for AR Based Interior Design
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    Chapter 4 Examination and Issues of Kumamoto Castle Ishigaki Region Extraction Focusing on Stone Contour Features
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    Chapter 5 Detection of Speech Impairments in Parkinson Disease Using Handcrafted Feature-Based Model on Spanish Speech Corpus
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    Chapter 6 Short-Term Action Recognition by 3D Convolutional Neural Network with Pixel-Wise Evidences
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    Chapter 7 Discriminative Metric Learning with Convolutional Feature Descriptors for Age-Invariant Face Recognition and Verification
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    Chapter 8 Dilated CNN Based Human Verifier for Intrusion Detection
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    Chapter 9 Occlusion-Aware Skeleton Trajectory Representation for Abnormal Behavior Detection
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    Chapter 10 A Deep-Learning Based Worker’s Pose Estimation
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    Chapter 11 Identifying People Using Body Sway in Case of Self-occlusion
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    Chapter 12 Action Recognition in Sports Video Considering Location Information
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    Chapter 13 Adaptive Feature Selection Siamese Networks for Visual Tracking
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    Chapter 14 Faster R-CNN with Attention Feature Map for Robust Object Detection
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    Chapter 15 Indoor Visual Re-localization Based on Confidence Score Using Omni-Directional Camera
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    Chapter 16 Analysis of Information Flow in Hidden Layers of the Trained Neural Network by Canonical Correlation Analysis
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    Chapter 17 Study of GANs Using a Few Images for Sealer Inspection Systems
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    Chapter 18 Consistency Ensured Bi-directional GAN for Anomaly Detection
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    Chapter 19 Unsupervised Adversarial Learning for Dynamic Background Modeling
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    Chapter 20 Transfer Learning by Cascaded Network to Identify and Classify Lung Nodules for Cancer Detection
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    Chapter 21 Hybrid Deep Learning and Data Augmentation for Disease Candidate Extraction
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    Chapter 22 Multispectral Photometric Stereo Using Intrinsic Image Decomposition
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    Chapter 23 In-Plane Rotation-Aware Monocular Depth Estimation Using SLAM
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    Chapter 24 Uncalibrated Photometric Stereo Using Quadric Surfaces with Two Cameras
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    Chapter 25 Gaussian Processes for Efficient Plane-Based Camera Calibration
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    Chapter 26 Leveraging Pyramidal Feature Hierarchy for 3D Reconstruction
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    Chapter 27 Inverse Lighting from Cast Shadows Under Unknown Radiometric Response Function
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Title
Frontiers of Computer Vision
Published by
Springer Singapore, June 2020
DOI 10.1007/978-981-15-4818-5
ISBNs
978-9-81-154817-8, 978-9-81-154818-5
Editors

Ohyama, Wataru, Jung, Soon Ki