Lecture Notes in Computer Science 11678978-3-030-29888...Lecture Notes in Computer Science 11678 Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany

Lecture Notes in Computer Science 11678

Founding Editors

Gerhard GoosKarlsruhe Institute of Technology, Karlsruhe, Germany

Juris HartmanisCornell University, Ithaca, NY, USA

Editorial Board Members

Elisa BertinoPurdue University, West Lafayette, IN, USA

Wen GaoPeking University, Beijing, China

Bernhard SteffenTU Dortmund University, Dortmund, Germany

Gerhard WoegingerRWTH Aachen, Aachen, Germany

Moti YungColumbia University, New York, NY, USA

More information about this series at http://www.springer.com/series/7412

Mario Vento • Gennaro Percannella (Eds.)

Computer Analysisof Images and Patterns18th International Conference, CAIP 2019Salerno, Italy, September 3–5, 2019Proceedings, Part I

123

EditorsMario VentoDepartment of Computer and ElectricalEngineering and Applied MathematicsUniversity of SalernoFisciano (SA), Italy

Gennaro PercannellaDepartment of Computer and ElectricalEngineering and Applied MathematicsUniversity of SalernoFisciano (SA), Italy

ISSN 0302-9743 ISSN 1611-3349 (electronic)Lecture Notes in Computer ScienceISBN 978-3-030-29887-6 ISBN 978-3-030-29888-3 (eBook)https://doi.org/10.1007/978-3-030-29888-3

LNCS Sublibrary: SL6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics

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Preface

This book is one of two volumes for the proceedings of the 18th internationalConference on Computer Analysis of Images and Patterns (CAIP 2019), which washeld in Salerno, Italy, during September 3–5, 2019.

CAIP is a series of biennial international conferences devoted to all aspects ofcomputer vision, image analysis and processing, pattern recognition, and related fields.Previous conferences were held in Ystad, Valletta, York, Seville, Münster, Vienna,Paris, Groningen, Warsaw, Ljubljana, Kiel, Prague, Budapest, Dresden, Leipzig,Wismar, and Berlin.

The conference included a main track held during September 3–5 at the Grand HotelSalerno in the center of the city of Salerno. The conference hosted four keynote talksprovided by world-renowned experts: James Ferryman (University of Reading, UK)gave a talk on “Biometrics and Surveillance on the Move: Vision for Border Security,”Luc Brun (ENSICAEN, France) on “Graph Classification,” Gian Luca Marcialis(University of Cagliari, Italy) on “Fingerprint Presentation Attacks Detection: from the“loss of innocence” to the “International Fingerprint Liveness Detection” competition,”and Nicolai Petkov (University of Groningen, The Netherlands) on “Representationlearning with trainable COSFIRE filters.”

The scientific program of the conference was extended with satellite events held atthe University of Salerno on the day before and after the main event. In particular, twotutorials on “Contemporary Deep Learning Models and their Applications,” by AdityaNigam and Arnav Bhavsar (Indian Institute of Technology Mandi) and on “ActiveObject Recognition: a survey of a (re-)emerging domain,” by Francesco Setti(University of Verona, Italy) were given on September 2; while on September 6 we hada contest entitled “Which is Which? - Evaluation of local descriptors for imagematching in real-world scenarios,” organized by Fabio Bellavia and Carlo Colombo(University of Florence, Italy), together with two workshops, namely “Deep-learningbased computer vision for UAV,” by Hamideh Kerdegari and Manzoor Razaak(Kingston University, UK) and Matthew Broadbent (Lancaster University, UK), and“Visual Computing and Machine Learning for Biomedical Applications,” by SaraColantonio and Daniela Giorgi (ISTI-CNR, Italy) and Bogdan J. Matuszewski (UCLan,UK).

The program covered high-quality scientific contributions in deep learning, 3Dvision, biomedical image and pattern analysis, biometrics, brain-inspired methods,document analysis, face and gestures, feature extraction, graph-based methods,high-dimensional topology methods, human pose estimation, image/video indexingand retrieval, image restoration, keypoint detection, machine learning for image andpattern analysis, mobile multimedia, model-based vision, motion and tracking, objectrecognition, segmentation, shape representation and analysis, and vision for robotics.

The contributions for CAIP 2019 were selected based on a minimum of two, butmostly three reviews. Among 183 submissions, 106 were accepted with an acceptancerate of 58%.

We are grateful to the Steering Committee of CAIP for giving us the honor oforganizing this reputable conference in Italy. We thank the International Associationfor Pattern Recognition (IAPR) that endorsed the conference, Springer that offered thebest paper award, and the Italian Association for Computer Vision, Pattern Recognitionand Machine Learning (CVPL) that offered the CVPL prize assigned to a youngresearcher, author of the best paper presented the conference. We thank the Universityof Salerno for the sponsorship and, specifically, its Department of Computer andElectrical Engineering and Applied Mathematics, also SAST Gmbh, A.I. Tech srl, andAI4Health srl as gold sponsors, and Nexsoft spa, Gesan srl, and Hanwha TechwinEurope Ltd. as silver sponsors.

We thank the authors for submitting their valuable works to CAIP; this is of primeimportance for the success of the event. However, the success of a conference alsodepends on a number of volunteers. We would like to thank the reviewers and theProgram Committee members for their excellent work. We also thank the localOrganizing Committee and all the other volunteers who helped us organize CAIP 2019.

We hope that all participants had a pleasant and fruitful stay in Salerno.

September 2019 Mario VentoGennaro Percannella

vi Preface

Organization

CAIP 2019 was organized by the Intelligent Machines for the recognition of Video,Images and Audio (MIVIA) Laboratory, Department of Computer and ElectricalEngineering and Applied Mathematics, University of Salerno, Italy.

Executive Committees

Conference Chairs

Mario Vento University of Salerno, ItalyGennaro Percannella University of Salerno, Italy

Program Chairs

Pasquale Foggia University of Salerno, ItalyLuca Greco University of Salerno, ItalyPierluigi Ritrovato University of Salerno, ItalyNicola Strisciuglio University of Groningen, The Netherlands

Local Organizing Committee

Vincenzo Carletti University of Salerno, ItalyAntonio Greco University of Salerno, ItalyAlessia Saggese University of Salerno, ItalyVincenzo Vigilante University of Salerno, Italy

Web and Publicity Chair

Vincenzo Carletti University of Salerno, Italy

Steering Committee

George Azzopardi University of Groningen, The NetherlandsMichael Felsberg Linköping University, SwedenEdwin Hancock University of York, UKXiaoyi Jiang University of Münster, GermanyReinhard Klette Auckland University of Technology, New ZealandWalter G. Kropatsch Vienna University of Technology, AustriaGennaro Percannella University of Salerno, ItalyNicolai Petkov University of Groningen, The NetherlandsPedro Real Jurado University of Seville, SpainMario Vento University of Salerno, Italy

Program Committee

Marco Aiello University of Stuttgart, GermanyEnrique Alegre University of Leon, SpainMuhammad Raza Ali InfoTech, PakistanFurqan Aziz Institute of Management Sciences, PakistanGeorge Azzopardi University of Groningen, The NetherlandsAndrew Bagdanov Computer Vision Center, SpainDonald Bailey Massey University, New ZealandAntonio Bandera University of Malaga, SpainArdhendu Behera Edge Hill University, UKAbdel Belaid University of Lorraine, FranceFabio Bellavia University of Florence, ItalyMichael Biehl University of Groningen, The NetherlandsGunilla Borgefors Uppsala University, SwedenKerstin Bunte University of Groningen, The NetherlandsKenneth Camilleri University of Malta, MaltaVincenzo Carletti University of Salerno, ItalyModesto Castrillon Santana University of Las Palmas de Gran Canaria, SpainKwok-Ping Chan University of Hong Kong, SAR ChinaRama Chellappa University of Maryland, USADmitry Chetverikov Hungarian Academy of Sciences, HungaryDanilo Coimbra Federal University of Bahia, BrazilCarlo Colombo University of Florence, ItalyDonatello Conte University of Tours, FranceCarl James Debono University of Malta, MaltaSanta Di Cataldo Politecnico di Torino, ItalyMariella Dimiccoli Institut de Robòtica i Informàtica Industrial, SpainJunyu Dong University of China, ChinaAlexandre Falcao University of Campinas (Unicamp), BrazilGiovanni Maria Farinella University of Catania, ItalyReuben A. Farrugia University of Malta, MaltaGernot Fink TU Dortmund University, GermanyPatrizio Frosini University of Bologna, ItalyEduardo Garea Advanced Technologies Applications Center, CubaBenoit Gaüzère Normandie Université, FranceDaniela Giorgi ISTI-CNR, ItalyRocio Gonzalez-Diaz University of Seville, SpainJavier Gonzalez-Jimenez University of Malaga, SpainAntonio Greco University of Salerno, ItalyCosmin Grigorescu European Patent Office, EUMiguel A.

Gutiérrez-NaranjoUniversity of Seville, Spain

Michal Haindl Czech Academy of Sciences, Czech RepublicVaclav Hlavac Czech Technical University in Prague, Czech RepublicYo-Ping Huang National Taipei University of Technology, Taiwan

viii Organization

Atsushi Imiya IMIT Chiba University, JapanXiaoyi Jiang University of Münster, GermanyMaria Jose Jimenez University of Seville, SpainMartin Kampel Vienna University of Technology, AustriaHamideh Kerdegari Kingston University of London, UKNahum Kiryati Tel Aviv University, IsraelReinhard Klette Auckland University of Technology, New ZealandWalter G. Kropatsch Vienna University of Technology, AustriaWenqi Li King’s College London, UKGuo-Shiang Lin China Medical University, TaiwanAgnieszka Lisowska University of Silesia, PolandJosep Llados Universitat Autònoma de Barcelona, SpainRebeca Marfil University of Malaga, SpainManuel J. Marín-Jiménez University of Cordoba, SpainHeydi Mendez-Vazquez Advanced Technologies Applications Center, CubaEckart Michaelsen Fraunhofer IOSB, GermanyMariofanna Milanova University of Arkansas at Little Rock, USAAdrian Muscat University of Malta, MaltaPaolo Napoletano University of Milan Bicocca, ItalyAndreas Neocleous University of Groningen, The NetherlandsMark Nixon University of Southampton, UKStavros Ntalampiras University of Milan, ItalyDarian Onchis University of Vienna, AustriaArkadiusz Orłowski Warsaw University of Life Sciences, PolandConstantinos Pattichis University of Cyprus, CyprusMarios Pattichis University of New Mexico, USAGennaro Percannella University of Salerno, ItalyNicolai Petkov University of Groningen, The NetherlandsFiora Pirri University of Rome Sapienza, ItalyGiovanni Poggi University of Naples Federico II, ItalyXianbiao Qi Shenzhen Research Institute of Big Data, ChinaManzoor Razaak Kingston University, UKPedro Real Jurado University of Seville, SpainEmanuele Rodolà University of Rome Sapienza, ItalyRobert Sablatnig Vienna University of Technology, AustriaAlessia Saggese University of Salerno, ItalyHideo Saito Keio University, JapanAlbert Ali Salah Utrecht University, TurkeyAngel Sanchez Rey Juan Carlos University, SpainLidia Sánchez-González University of León, SpainAntonio-José

Sánchez-SalmerónUniversitat Politècnica de València, Spain

Gabriella Sanniti di Baja ICAR-CNR, ItalyCarlo Sansone University of Naples Federico II, ItalySudeep Sarkar University of South Florida, USAChristos Schizas University of Cyprus, Cyprus

Organization ix

Klamer Schutte TNO, The NetherlandsFrancesc Serratosa Universitat Rovira i Virgili, SpainFabrizio Smeraldi Queen Mary University of London, UKAkihiro Sugimoto National Institute of Informatics, JapanBart Ter Haar Romeny Eindhoven University of Technology, The NetherlandsBernard Tiddeman Aberystwyth University, UKKlaus Toennies Otto-von-Guericke University, GermanyJavier Toro Desarrollo para la Ciencia y la Tecnología, VenezuelaAndrea Torsello University of Venice Ca Foscari, ItalyFrancesco Tortorella University of Salerno, ItalyCarlos M.

Travieso-GonzalezUniversity of Las Palmas de Gran Canaria, Spain

Radim Tylecek University of Edinburgh, UKHerwig Unger FernUniversität in Hagen, GermanyErnest Valveny Universitat Autònoma de Barcelona, SpainMario Vento University of Salerno, ItalyVincenzo Vigilante University of Salerno, ItalyArnold Wiliem University of Queensland, AustraliaMichael H. F. Wilkinson University of Groningen, The NetherlandsRichard Wilson University of York, UKWei Wi Yan Auckland University of Technology, New ZealandZhao Zhang Hefei University of Technology, China

Invited Speakers

James Ferryman University of Reading, UKLuc Brun ENSICAEN, FranceGian Luca Marcialis University of Cagliari, ItalyNicolai Petkov University of Groningen, The Netherlands

Tutorials

Aditya Nigam Indian Institute of Technology Mandi, IndiaArnav Bhavsar Indian Institute of Technology Mandi, IndiaFrancesco Setti University of Verona, Italy

Workshops

Hamideh Kerdegari Kingston University, UKManzoor Razaak Kingston University, UKMatthew Broadbent Lancaster University, UKSara Colantonio ISTI-CNR, ItalyDaniela Giorgi ISTI-CNR, ItalyBogdan J. Matuszewski UCLan, UK

x Organization

Contest

Fabio Bellavia University of Florence, ItalyCarlo Colombo University of Florence, Italy

Additional Reviewer

W. Al-NabkiM. G. Al-SarayrehD. BataviaM. G. BergomiP. BhowmickR. BiswasP. BlancoM. CallieriD. ChavesD. Freire-ObregónA. Gangwar

A. GriffinD. HelmJ. HladůvkaH. HoC. IstinA. JoshhiD. KossmannP. Marín-ReyesF. A. MorenoM. MortaraF. Moya

M. NorouzifardE. Paluzo-HidalgoC. PramerdorferE. RusakovJ. R. R. SarmientoJ. SmithM. Soriano-TriguerosE. TalaveraF. WolfD. Zuñiga-Noël

Endorsing Institution

International Association for Pattern Recognition (IAPR)

Sponsoring Institutions

Department of Computer and Electrical Engineering and Applied Mathematics,University of SalernoSpringer Lecture Notes in Computer ScienceItalian Association for Computer Vision, Pattern Recognition and MachineLearning (CVPL)

Sponsoring Companies

A.I. Tech srlSAST GmbhAI4Health srlGesan srlHanwha Techwin Europe LtdNexsoft SpA

Organization xi

Contents – Part I

Intelligent Systems

HMDHBN: Hidden Markov Inducing a Dynamic Hierarchical BayesianNetwork for Tumor Growth Prediction . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Samya Amiri and Mohamed Ali Mahjoub

MIVIABot: A Cognitive Robot for Smart Museum . . . . . . . . . . . . . . . . . . . 15Alessia Saggese, Mario Vento, and Vincenzo Vigilante

Two-Stage RGB-Based Action Detection Using Augmented 3D Poses. . . . . . 26Konstantinos Papadopoulos, Enjie Ghorbel, Renato Baptista,Djamila Aouada, and Björn Ottersten

Real-Time and GPU Processing

How Does Connected Components Labeling with Decision TreesPerform on GPUs? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39

Stefano Allegretti, Federico Bolelli, Michele Cancilla,Federico Pollastri, Laura Canalini, and Costantino Grana

A Compact Light Field Camera for Real-Time Depth Estimation . . . . . . . . . 52Yuriy Anisimov, Oliver Wasenmüller, and Didier Stricker

A Real-Time Processing Stand-Alone Multiple Object VisualTracking System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64

Mauro Fernández-Sanjurjo, Manuel Mucientes, and Víctor M. Brea

Demo: Accelerating Depth-Map on Mobile Device UsingCPU-GPU Co-processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75

Peter Fasogbon, Emre Aksu, and Lasse Heikkilä

Image Segmentation

Skin Lesion Segmentation Ensemble with Diverse Training Strategies . . . . . . 89Laura Canalini, Federico Pollastri, Federico Bolelli, Michele Cancilla,Stefano Allegretti, and Costantino Grana

Hough Based Evolutions for Enhancing Structuresin 3D Electron Microscopy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102

Kireeti Bodduna, Joachim Weickert, and Achilleas S. Frangakis

Automated Segmentation of Nanoparticles in BF TEM Images by U-NetBinarization and Branch and Bound . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113

Sahar Zafari, Tuomas Eerola, Paulo Ferreira, Heikki Kälviäinen,and Alan Bovik

Image and Texture Analysis

A Fractal-Based Approach to Network Characterization Appliedto Texture Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129

Lucas C. Ribas, Antoine Manzanera, and Odemir M. Bruno

Binary Tomography Using Variants of Local Binary Patternsas Texture Priors. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141

Judit Szűcs and Péter Balázs

Volumes of Blurred-Invariant Gaussians for DynamicTexture Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155

Thanh Tuan Nguyen, Thanh Phuong Nguyen, Frédéric Bouchara,and Ngoc-Son Vu

Machine Learning for Image and Pattern Analysis

Learning Visual Dictionaries from Class-SpecificSuperpixel Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171

César Castelo-Fernández and Alexandre X. Falcão

Towards Real-Time Image Enhancement GANs . . . . . . . . . . . . . . . . . . . . . 183Leonardo Galteri, Lorenzo Seidenari, Marco Bertini,and Alberto Del Bimbo

Multi-stream Convolutional Networks for Indoor Scene Recognition . . . . . . . 196Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen,and Nazar Zaki

Learning Controllable Face Generator from Disjoint Datasets . . . . . . . . . . . . 209Jing Li, Yongkang Wong, and Terence Sim

Learning Discriminatory Deep Clustering Models . . . . . . . . . . . . . . . . . . . . 224A. Alqahtani, X. Xie, J. Deng, and M. W. Jones

Multi-stream Convolutional Autoencoder and 2D Generative AdversarialNetwork for Glioma Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234

Muhaddisa Barat Ali, Irene Yu-Hua Gu, and Asgeir Store Jakola

Object Contour and Edge Detection with RefineContourNet . . . . . . . . . . . . . 246André Peter Kelm, Vijesh Soorya Rao, and Udo Zölzer

xiv Contents – Part I

LYTNet: A Convolutional Neural Network for Real-Time PedestrianTraffic Lights and Zebra Crossing Recognition for the Visually Impaired. . . . 259

Samuel Yu, Heon Lee, and John Kim

A Sequential CNN Approach for Foreign Object Detectionin Hyperspectral Images. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271

Mahmoud Al-Sarayreh, Marlon M. Reis, Wei Qi Yan,and Reinhard Klette

Transfer Learning for Improving Lifelog Image Retrieval. . . . . . . . . . . . . . . 284Fatma Ben Abdallah, Ghada Feki, Anis Ben Ammar,and Chokri Ben Amar

Data Sets and Benchmarks

Which Is Which? Evaluation of Local Descriptors for Image Matchingin Real-World Scenarios . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299

Fabio Bellavia and Carlo Colombo

How Well Current Saliency Prediction Models Performon UAVs Videos? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311

Anne-Flore Perrin, Lu Zhang, and Olivier Le Meur

Place Recognition in Gardens by Learning Visual Representations:Data Set and Benchmark Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324

María Leyva-Vallina, Nicola Strisciuglio, and Nicolai Petkov

500,000 Images Closer to Eyelid and Pupil Segmentation . . . . . . . . . . . . . . 336Wolfgang Fuhl, Wolfgang Rosenstiel, and Enkelejda Kasneci

Structural and Computational Pattern Recognition

Blur Invariant Template Matching Using Projection onto Convex Sets. . . . . . 351Matěj Lébl, Filip Šroubek, Jaroslav Kautský, and Jan Flusser

Partitioning 2D Images into Prototypes of Slope Region . . . . . . . . . . . . . . . 363Darshan Batavia, Jiří Hladůvka, and Walter G. Kropatsch

Homological Region Adjacency Tree for a 3D Binary Digital Imagevia HSF Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375

Pedro Real, Helena Molina-Abril, Fernando Díaz-del-Río,and Sergio Blanco-Trejo

Contents – Part I xv

Poster Session

Reliability of Results and Fairness in the Comparison of RatesAmong 3D Facial Expression Recognition Works . . . . . . . . . . . . . . . . . . . . 391

Gilderlane Ribeiro Alexandre, George André Pereira Thé,and José Marques Soares

On the Null-Space of the Shape-Color Moment Invariants . . . . . . . . . . . . . . 402Jitka Kostková and Jan Flusser

Variational Optical Flow: Warping and Interpolation Revisited . . . . . . . . . . . 409Georg Radow and Michael Breuß

Robust Histogram Estimation Under Gaussian Noise . . . . . . . . . . . . . . . . . . 421Jitka Kostková and Jan Flusser

A Discrete Approach for Polygonal Approximation of IrregularNoise Contours . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 433

Phuc Ngo

Learning the Graph Edit Distance Parameters for Point-SetImage Registration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447

Shaima Algabli, Pep Santacruz, and Francesc Serratosa

An Explainable AI-Based Computer Aided Detection Systemfor Diabetic Retinopathy Using Retinal Fundus Images . . . . . . . . . . . . . . . . 457

Adrian Kind and George Azzopardi

An Adaptive Copy-Move Forgery Detection Using Wavelet CoefficientsMultiscale Decay . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469

Vittoria Bruni, Giuliana Ramella, and Domenico Vitulano

Real Time Object Detection on Aerial Imagery . . . . . . . . . . . . . . . . . . . . . . 481Raghav Sharma, Rohit Pandey, and Aditya Nigam

Comparison of Deep Learning-Based Recognition Techniquesfor Medical and Biomedical Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 492

Tomáš Majtner and Esmaeil S. Nadimi

Retrieved Image Refinement by Bootstrap Outlier Test . . . . . . . . . . . . . . . . 505Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, and Noboru Murata

MDAD: A Multimodal and Multiview in-Vehicle Driver Action Dataset . . . . 518Imen Jegham, Anouar Ben Khalifa, Ihsen Alouani,and Mohamed Ali Mahjoub

Robust Classification of Head Pose from Low Resolution Images . . . . . . . . . 530Mohammad Khaki, Issa Ayoub, Abbas Javadtalab,and Hussein Al Osman

xvi Contents – Part I

Forecasting of Meteorological Weather Time Series Through a FeatureVector Based on Correlation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 542

Mery Milagros Paco Ramos, Cristian López Del Alamo,and Reynaldo Alfonte Zapana

Smart Monitoring of Crops Using Generative Adversarial Networks . . . . . . . 554Hamideh Kerdegari, Manzoor Razaak, Vasileios Argyriou,and Paolo Remagnino

A CNN Based HEp-2 Specimen Image Segmentation and Identificationof Mitotic Spindle Type Specimens . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 564

Krati Gupta, Arnav Bhavsar, and Anil K. Sao

Unsupervised Routine Discovery in Egocentric Photo-Streams . . . . . . . . . . . 576Estefania Talavera, Nicolai Petkov, and Petia Radeva

Color Visual Cryptography with Completely Randomly Coded Colors. . . . . . 589Arkadiusz Orłowski and Leszek J. Chmielewski

Using the Properties of Primate Motion Sensitive Neurons to ExtractCamera Motion and Depth from Brief 2-D Monocular Image Sequences . . . . 600

John A. Perrone, Michael J. Cree, and Mohammad Hedayati

Refined Deep Learning for Digital Objects Recognitionvia Betti Invariants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 613

Darian M. Onchis, Codruta Istin, and Pedro Real

Real-Time Micro-expression Detection in Unlabeled Long VideosUsing Optical Flow and LSTM Neural Network . . . . . . . . . . . . . . . . . . . . . 622

Jing Ding, Zi Tian, Xiangwen Lyu, Quande Wang, Bochao Zou,and Haiyong Xie

A Global-Matching Framework for Multi-View Stereopsis . . . . . . . . . . . . . . 635Wendong Mao, Minglun Gong, Xin Huang, Hao Cai, and Zili Yi

Quality Analysis of Fingerprint Images Using Local Phase Quantization . . . . 648Ram Prakash Sharma and Somnath Dey

Intrinsic Calibration of Depth Cameras for Mobile Robots Usinga Radial Laser Scanner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 659

David Zuñiga-Noël, Jose-Raul Ruiz-Sarmiento,and Javier Gonzalez-Jimenez

Multilinear Subspace Method Based on Geodesic Distancefor Volumetric Object Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 672

Hayato Itoh and Atsushi Imiya

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685

Contents – Part I xvii

Contents – Part II

Poster Session

3D Color CLUT Compression by Multi-scale Anisotropic Diffusion . . . . . . . 3David Tschumperlé, Christine Porquet, and Amal Mahboubi

Analysis of Skill Improvement Process Based on Movement of Gazeand Hand in Assembly Task. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Yohei Kawase and Manabu Hashimoto

Hybrid Function Sparse Representation Towards Image Super Resolution . . . 27Junyi Bian, Baojun Lin, and Ke Zhang

Toward New Spherical Harmonic Shannon Entropy for Surface Modeling . . . 38Malika Jallouli, Wafa Belhadj Khalifa, Anouar Ben Mabrouk,and Mohamed Ali Mahjoub

Over Time RF Fitting for Jitter Free 3D Vertebra Reconstructionfrom Video Fluoroscopy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49

Ioannis Ioannidis and Hammadi Nait-Charif

Challenges and Methods of Violence Detection in Surveillance Video:A Survey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62

Wafa Lejmi, Anouar Ben Khalifa, and Mohamed Ali Mahjoub

Uncertainty Based Adaptive Projection Selection Strategy for BinaryTomographic Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74

Gábor Lékó, Szilveszter Domány, and Péter Balázs

Non-contact Heart Rate Monitoring Using Multiple RGB Cameras . . . . . . . . 85Hamideh Ghanadian and Hussein Al Osman

An Efficient Anaglyph 3D Video Watermarking Approach Basedon Hybrid Insertion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96

Dorra Dhaou, Saoussen Ben Jabra, and Ezzeddine Zagrouba

A Computer Vision Pipeline that Uses Thermal and RGB Imagesfor the Recognition of Holstein Cattle . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108

Amey Bhole, Owen Falzon, Michael Biehl, and George Azzopardi

DeepNautilus: A Deep Learning Based System for Nautical Engines’Live Vibration Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120

Rosario Carbone, Raffaele Montella, Fabio Narducci,and Alfredo Petrosino

Binary Code for the Compact Palmprint Representation UsingTexture Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132

Agata Giełczyk, Gian Luca Marcialis, and Michał Choraś

Handwriting Analysis to Support Alzheimer’s Disease Diagnosis:A Preliminary Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143

Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella,Mario Molinara, and Alessandra Scotto Di Freca

Geometrical and Statistical Properties of the Rational Order PyramidTransform and Dilation Filtering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152

Kento Hosoya, Kouki Nozawa, and Atsushi Imiya

Personal Identity Verification by EEG-Based Network Representationon a Portable Device . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164

Giulia Orrú, Marco Garau, Matteo Fraschini, Javier Acedo,Luca Didaci, David Ibáñez, Aureli Soria-Frish,and Gian Luca Marcialis

A System for Controlling How Carefully Surgeons Are CleaningTheir Hands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172

Luca Greco, Gennaro Percannella, Pierluigi Ritrovato, Alessia Saggese,and Mario Vento

Class-Conditional Data Augmentation Applied to Image Classification . . . . . 182Eduardo Aguilar and Petia Radeva

Fabric Classification and Matching Using CNN and Siamese Networkfor E-commerce . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193

Chandrakant Sonawane, Dipendra Pratap Singh, Raghav Sharma,Aditya Nigam, and Arnav Bhavsar

Real-Time Style Transfer with Strength Control . . . . . . . . . . . . . . . . . . . . . 206Victor Kitov

Faster Visual-Based Localization with Mobile-PoseNet . . . . . . . . . . . . . . . . 219Claudio Cimarelli, Dario Cazzato, Miguel A. Olivares-Mendez,and Holger Voos

Unsupervised Effectiveness Estimation Through Intersectionof Ranking References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231

João Gabriel Camacho Presotto, Lucas Pascotti Valem,and Daniel Carlos Guimarães Pedronette

Joint Correlation Measurements for PRNU-Based Source Identification . . . . . 245Vittoria Bruni, Alessandra Salvi, and Domenico Vitulano

xx Contents – Part II

Detecting Sub-Image Replicas: Retrieval and Localizationof Zoomed-In Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257

Afraà Ahmad Alyosef and Andreas Nürnberger

Homogeneity Index as Stopping Criterion for AnisotropicDiffusion Filter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269

Fernando Pereira dos Santos and Moacir Antonelli Ponti

Adaptive Image Binarization Based on Multi-layered Stack of Regions . . . . . 281Hubert Michalak and Krzysztof Okarma

Evaluating Impacts of Motion Correction on Deep Learning Approachesfor Breast DCE-MRI Segmentation and Classification . . . . . . . . . . . . . . . . . 294

Antonio Galli, Michela Gravina, Stefano Marrone, Gabriele Piantadosi,Mario Sansone, and Carlo Sansone

A Two-Step System Based on Deep Transfer Learning for WriterIdentification in Medieval Books. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305

Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella,Claudio Marrocco, Mario Molinara, and Alessandra Scotto Di Freca

Restoration of Colour Images Using Backward Stochastic DifferentialEquations with Reflection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317

Dariusz Borkowski

Sound Transformation: Applying Image Neural Style Transfer Networksto Audio Spectograms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 330

Xuehao Liu, Sarah Jane Delany, and Susan McKeever

Timber Tracing with Multimodal Encoder-Decoder Networks . . . . . . . . . . . . 342Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen,Heikki Haario, Jere Heikkinen, and Tomi Kauppi

A Challenging Voice Dataset for Robotic Applicationsin Noisy Environments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354

Antonio Roberto, Alessia Saggese, and Mario Vento

Binary Classification Using Pairs of Minimum Spanning Treesor N-Ary Trees . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365

Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati,and Dimitri Ognibene

Estimating the Noise Level Function with the Tree of Shapesand Non-parametric Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 377

Baptiste Esteban, Guillaume Tochon, and Thierry Géraud

Contents – Part II xxi

Deep Convolutional Neural Networks for Plant Species CharacterizationBased on Leaf Midrib . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389

Leonardo F. S. Scabini, Rayner M. Condori, Isabella C. L. Munhoz,and Odemir M. Bruno

Towards an Automatic Annotation of French Sign Language Videos:Detection of Lexical Signs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 402

Hussein Chaaban, Michèle Gouiffès, and Annelies Braffort

Orthogonal Affine Invariants from Gaussian-Hermite Moments. . . . . . . . . . . 413Jan Flusser, Tomáš Suk, and Bo Yang

A Web-Based System to Assess Texture Analysis Methods and Datasets . . . . 425Alex J. F. Farfán, Leonardo F. S. Scabini, and Odemir M. Bruno

TRINet: Tracking and Re-identification Network for MultipleTargets in Egocentric Videos Using LSTMs . . . . . . . . . . . . . . . . . . . . . . . . 438

Jyoti Nigam and Renu M. Rameshan

Digital Signature Based Control Integrity for JPEG HDR Images . . . . . . . . . 449Meha Hachani and Azza Ouled Zaid

FS2Net: Fiber Structural Similarity Network (FS2Net) for RotationInvariant Brain Tractography Segmentation Using Stacked LSTMBased Siamese Network. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 459

Ranjeet Ranjan Jha, Shreyas Patil, Aditya Nigam, and Arnav Bhavsar

Master and Rookie Networks for Person Re-identification . . . . . . . . . . . . . . 470Danilo Avola, Marco Cascio, Luigi Cinque, Alessio Fagioli,Gian Luca Foresti, and Cristiano Massaroni

Knee Osteoarthritis Detection Using Power Spectral Density:Data from the OsteoArthritis Initiative . . . . . . . . . . . . . . . . . . . . . . . . . . . . 480

Abdelbasset Brahim, Rabia Riad, and Rachid Jennane

Object Instance Segmentation in Digital Terrain Models . . . . . . . . . . . . . . . 488Bashir Kazimi, Frank Thiemann, and Monika Sester

Improvement of Image Denoising Algorithms by Preserving the Edges . . . . . 496Ram Krishna Pandey, Harpreet Singh, and A. G. Ramakrishnan

Fast Landmark Recognition in Photo Albums . . . . . . . . . . . . . . . . . . . . . . . 507Pierre Stefani and Cristina Oprean

Fast and Robust Detection of Solar Modulesin Electroluminescence Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 519

Mathis Hoffmann, Bernd Doll, Florian Talkenberg, Christoph J. Brabec,Andreas K. Maier, and Vincent Christlein

xxii Contents – Part II

Large Field/Close-Up Image Classification: From Simpleto Very Complex Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532

Quyet-Tien Le, Patricia Ladret, Huu-Tuan Nguyen, and Alice Caplier

Enhancing Low Quality Face Image Matching by NeurovisuallyInspired Deep Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 544

Apurba Das and Pallavi Saha

On the Computation of the Euler Characteristic of Binary Imagesin the Triangular Grid . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 556

Lidija Čomić and Andrija Blesić

Feature GANs: A Model for Data Enhancement and Sample Balanceof Foreign Object Detection in High Voltage Transmission Lines . . . . . . . . . 568

Yimin Dou, Xiangru Yu, and Jinping Li

Embedded Prototype Subspace Classification: A SubspaceLearning Framework . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 581

Anders Hast, Mats Lind, and Ekta Vats

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 593

Contents – Part II xxiii