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New Trends in Image Analysis and Processing – ICIAP 2019

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Cover of 'New Trends in Image Analysis and Processing – ICIAP 2019'

Table of Contents

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    Book Overview
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    Chapter 1 EEG-Based Biometric Verification Using Siamese CNNs
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    Chapter 2 On the Cross-Finger Similarity of Vein Patterns
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    Chapter 3 Improving Multi-scale Face Recognition Using VGGFace2
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    Chapter 4 Blind Print-Cam Data Hiding Exploiting Color Perception
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    Chapter 5 A Database for Face Presentation Attack Using Wax Figure Faces
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    Chapter 6 Analysis of “User-Specific Effect” and Impact of Operator Skills on Fingerprint PAD Systems
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    Chapter 7 Enriching Character-Based Neural Machine Translation with Modern Documents for Achieving an Orthography Consistency in Historical Documents
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    Chapter 8 A Comparative Analysis of Two Commercial Digital Photogrammetry Software for Cultural Heritage Applications
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    Chapter 9 Segmentation of Multi-temporal UV-Induced Fluorescence Images of Historical Violins
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    Chapter 10 A Study of English Neologisms Through Large-Scale Probabilistic Indexing of Bentham’s Manuscripts
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    Chapter 11 Modern vs Diplomatic Transcripts for Historical Handwritten Text Recognition
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    Chapter 12 Improving Ancient Cham Glyph Recognition from Cham Inscription Images Using Data Augmentation and Transfer Learning
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    Chapter 13 Oracle Bone Inscription Detector Based on SSD
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    Chapter 14 Shot Boundary Detection for Automatic Video Analysis of Historical Films
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    Chapter 15 The Epistle to Cangrande Through the Lens of Computational Authorship Verification
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    Chapter 16 A Cockpit of Measures for Image Quality Assessment in Digital Film Restoration
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    Chapter 17 Augmented Reality for the Valorization and Communication of Ruined Architecture
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    Chapter 18 Classification of Arabic Poems: from the $$5^{th}$$ to the $$15^{th}$$ Century
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    Chapter 19 A Page-Based Reject Option for Writer Identification in Medieval Books
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    Chapter 20 Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts
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    Chapter 21 Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning
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    Chapter 22 Slide Screening of Metastases in Lymph Nodes via Conditional, Fully Convolutional Segmentation
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    Chapter 23 A Learning Approach for Informative-Frame Selection in US Rheumatology Images
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    Chapter 24 A Serious Game to Support Decision Making in Medical Education
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    Chapter 25 Nerve Contour Tracking for Ultrasound-Guided Regional Anesthesia
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    Chapter 26 Skin Lesions Classification: A Radiomics Approach with Deep CNN
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    Chapter 27 Semantic 3D Object Maps for Everyday Robotic Retail Inspection
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    Chapter 28 Collecting Retail Data Using a Deep Learning Identification Experience
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    Chapter 29 A Large Scale Trajectory Dataset for Shopper Behaviour Understanding
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    Chapter 30 An IOT Edge-Fog-Cloud Architecture for Vision Based Pallet Integrity
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    Chapter 31 The Vending Shopper Science Lab: Deep Learning for Consumer Research
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    Chapter 32 Boosting Object Recognition in Point Clouds by Saliency Detection
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    Chapter 33 Hand Gesture Recognition for Collaborative Workstations: A Smart Command System Prototype
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    Chapter 34 In-Line Burr Inspection Through Backlight Vision
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    Chapter 35 Segmentation Guided Scoring of Pathological Lesions in Swine Through CNNs
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    Chapter 36 Intelligent Recognition of TCP Intrusions for Embedded Micro-controllers
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    Chapter 37 6D Pose Estimation for Industrial Applications
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    Chapter 38 Grain Segmentation in Atomic Force Microscopy for Thin-Film Deposition Quality Control
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    Chapter 39 Advanced Moving Camera Object Detection
Attention for Chapter 3: Improving Multi-scale Face Recognition Using VGGFace2
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Chapter title
Improving Multi-scale Face Recognition Using VGGFace2
Chapter number 3
Book title
New Trends in Image Analysis and Processing – ICIAP 2019
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-30754-7_3
Book ISBNs
978-3-03-030753-0, 978-3-03-030754-7
Authors

Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo, Massoli, Fabio Valerio, Amato, Giuseppe, Falchi, Fabrizio, Gennaro, Claudio, Vairo, Claudio

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X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 40%
Student > Master 2 20%
Unknown 4 40%
Readers by discipline Count As %
Computer Science 5 50%
Unknown 5 50%