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
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