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Reproducible Research in Pattern Recognition: Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers PDF

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Bertrand Kerautret · Miguel Colom · Daniel Lopresti · Pascal Monasse · Hugues Talbot (Eds.) 5 5 4 Reproducible Research 1 1 S C in Pattern Recognition N L Second International Workshop, RRPR 2018 Beijing, China, August 20, 2018 Revised Selected Papers Lecture Notes in Computer Science 11455 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen Editorial Board Members David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zurich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology Madras, Chennai, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA More information about this series at http://www.springer.com/series/7412 Bertrand Kerautret Miguel Colom (cid:129) (cid:129) Daniel Lopresti Pascal Monasse (cid:129) (cid:129) Hugues Talbot (Eds.) Reproducible Research in Pattern Recognition Second International Workshop, RRPR 2018 Beijing, China, August 20, 2018 Revised Selected Papers 123 Editors Bertrand Kerautret Miguel Colom LIRIS CMLA, ENSCachan,CNRS UniversitédeLyon 2 UniversitéParis-Saclay Bron, France Cachan,France DanielLopresti PascalMonasse Department ofComputer Science Laboratoire d'Informatique Gaspard-Monge andEngineering Ecoledes Ponts Paristech LehighUniversity Marne-la-Vallée, France Bethlehem, PA,USA Hugues Talbot CentraleSupelec Universite Paris-Saclay Gif-sur-Yvette, France ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notesin Computer Science ISBN 978-3-030-23986-2 ISBN978-3-030-23987-9 (eBook) https://doi.org/10.1007/978-3-030-23987-9 LNCSSublibrary:SL6–ImageProcessing,ComputerVision,PatternRecognition,andGraphics ©SpringerNatureSwitzerlandAG2019 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictionalclaimsin publishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface This volume contains the articles from the second edition of the Workshop on Repro- ducible Research in Pattern Recognition that was held during August 20, 2018, in conjunctionwithICPR2018inBeijing.Itfollowedinthesamespiritasthefirstedition withaspecialfocusondigitalgeometryandmathematicalmorphology.Itwasintended as both a short participative course on reproducible research (RR) aspects leading to opendiscussionswiththeparticipantsandalsoonhowtoactuallyperformRR.Forthis secondedition,anewcallforshortpaperswasproposedtotheICPRauthors.Themain ideawastogiveauthorsofalreadyacceptedICPRpapersthepossibilitytohighlightthe reproducibilityoftheirworkwithacompanionpaper.Itwasanopportunitytoinclude implementation details, source code descriptions, parameter choice etc. This proceedings volume gathers 14 contributions covering the RR result track (three papers), invited RR contributions (five papers), and the new companion paper tracks (six papers). The contributions were reviewed by an average of 2.35 reviewers and the short papers were generally given two assessments: one for the short paper itselfandanotherfromtheRRlabellinkedtothecoderepository(whenauthorsapply forthelabel).Acomparablenumberofparticipantswerepresentinthisworkshopwith around 25 participants. The public participated actively in the discussions with pre- sentersfocusingonRR.Thenumberofauthorsincreasedbyover45%forthissecond edition with 41 different authors. From all the contributions, two invited talks opened the workshop. The first was relatedtotheevolutionandthefutureoftheIPOLjournal,includinganewstructurefor machine learning applications. The second invited talk focused on a review of repro- ducibleresearchplatformswithanoverviewofthemostrecentsmeansofpublication. ThethreemainpapersonRRresultswereoralpresentationsandfourshortpaperswere oralfast-track presentations.Inadditiontothesenew classicpresentations, anewtype of practical session was proposed by Miguel Colom with “Hands on IPOL Demon- stration System” where users were able to construct their own online demonstration from a simple description file. As in the first edition, the RRPR workshop received the endorsement of the International Association of Pattern Recognition (IAPR). We would like to thank this associationaswellasallauthorswhocontributedtotheseproceedings.Wealsothank the Springer computer sciences team and in particular Alfred Hofman and Anna Kramer,forallowingtousonceagaintopublishtheproceedingsasanLNCSvolume. Finally, we also thank Jean-Michel Morel for supporting our initiative and Audrey BichetoftheMMIdepartmentofSaintDié-des-Vosgesfordesigninganewposterfor this workshop. March 2019 Bertrand Kerautret Miguel Colom Daniel Lopresti Pascal Monasse Hugues Talbot Organization Chairs Bertrand Kerautret LIRIS, Université de Lyon 2, France Miguel Colom CMLA, ENS Paris Saclay, France Bart Lamiroy LORIA, Université de Lorraine, France Daniel Lopresti CSE, Lehigh University, USA Pascal Monasse LIGM, École des Ponts, France Jean-Michel Morel CMLA, ENS Paris Saclay, France Fabien Pierre LORIA, Université de Lorraine, France Hugues Talbot CentraleSupelec, Universite Paris-Saclay, France Reproducible Label Chair Adrien Krähënbühl ICube, Université de Strasbourg, France Program Committee Pablo Arias CMLA ENS Paris-Saclay, France Fabien Baldacci LaBRI, University of Bordeaux, France K. Joost Batenburg University of Antwerp, Belgium Jenny Benois-Pineau LaBRI, University of Bordeaux, France Partha Bhowmick IIT, Kharagpur, India Arindam Biswas IIEST, Shibpur, India Alexandre Boulch ONERA, France Luc Brun GREYC, Caen Normandy University, France Leszek J. Chmielewski Warsaw University of Life Sciences, Poland Miguel Colom CMLA ENS Paris-Saclay, France David Coeurjolly LIRIS, CNRS, France Isabelle Debled-Rennesson LORIA, University of Lorraine, France Pascal Desbarats LaBRI, University of Bordeaux, France Philippe Even LORIA, University of Lorraine, France Yukiko Kenmochi LIGM, CNRS, France Bertrand Kerautret LIRIS, Université de Lyon 2, France Adrien Krähenbühl ICube, Université de Strasbourg, France Jacques-Olivier Lachaud LAMA, University Savoie Mont Blanc, France Bart Lamiroy LORIA, University of Lorraine, France Daniel Lopresti CSE, Lehigh University, USA Vincent Mazet ICube, Université de Strasbourg, France Loïc Mazo ICube, Université de Strasbourg, France Enric Meinhardt-Llopis CMLA ENS Paris-Saclay, France Nicolas Mellado UPS, IRIT, CNRS, Université de Toulouse, France viii Organization Pascal Monasse LIGM, École des Ponts, France Nelson Monzón López CTIM, ULPGC, Spain Jean-Michel Morel CMLA ENS Paris-Saclay, France Pierre Moulon Zillow Group, Seattle, USA Khadija Musayeva LORIA, University of Lorraine, France Benoît Naegel ICube, Université de Strasbourg, France Phuc Ngo LORIA, University of Lorraine, France Thanh Phuong Nguyen University of Toulon, France Nicolas Normand Polytech Nantes, France Nicolas Passat Université de Reims Champagne-Ardenne, France Fabien Pierre LORIA, University of Lorraine, France Francois Rousseau Télécom Bretagne, France Loïc Simon GREYC, Caen Normandy University, France Isabelle Sivignon GIPSA-lab, CNRS, France Robin Strand Centre for Image Analysis, Uppsala, Sweden Hugues Talbot CentraleSupelec, Université Paris-Saclay, France Antoine Vacavant IP/Université Clermont Auvergne, France Jonathan Weber MIPS, Université de Haute-Alsace, France Laurent Wendling LIPADE, Université Paris Descartes, France Contents Invited Talks Extending IPOL to New Data Types and Machine-Learning Applications . . . 3 Miguel Colom An Overview of Platforms for Reproducible Research and Augmented Publications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Miguel Colom, Bertrand Kerautret, and Adrien Krähenbühl Reproducible Research Results A Root-to-Leaf Algorithm Computing the Tree of Shapes of an Image . . . . . 43 Pascal Monasse Discrete Regular Polygons for Digital Shape Rigid Motion via Polygonization. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Phuc Ngo, Yukiko Kenmochi, Nicolas Passat, and Isabelle Debled-Rennesson Non-deterministic Behavior of Ranking-Based Metrics When Evaluating Embeddings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 Anguelos Nicolaou, Sounak Dey, Vincent Christlein, Andreas Maier, and Dimosthenis Karatzas RRPR Short Papers CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 Rocco Pietrini, Daniele Liciotti, Marina Paolanti, Emanuele Frontoni, and Primo Zingaretti Connected Components Labeling on DRAGs: Implementation and Reproducibility Notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 Federico Bolelli, Michele Cancilla, Lorenzo Baraldi, and Costantino Grana MATLAB Implementation Details of a Scalable Spectral Clustering Algorithm with the Cosine Similarity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 Guangliang Chen x Contents On the Implementation of ALFA – Agglomerative Late Fusion Algorithm for Object Detection. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 Iuliia Saveleva and Evgenii Razinkov On Reproducibility of Deep Convolutional Neural Networks Approaches. . . . 104 Gabriele Piantadosi, Stefano Marrone, and Carlo Sansone Some Comments on Variational Bayes Block Sparse Modeling with Correlated Entries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 Shruti Sharma, Santanu Chaudhury, and Jayadeva Invited Reproducible Research Contributions An Image Processing Library in Modern C++: Getting Simplicity and Efficiency with Generic Programming. . . . . . . . . . . . . . . . . . . . . . . . . 121 Michaël Roynard, Edwin Carlinet, and Thierry Géraud New Definition of Quality-Scale Robustness for Image Processing Algorithms, with Generalized Uncertainty Modeling, Applied to Denoising and Segmentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 Antoine Vacavant, Marie-Ange Lebre, Hugo Rositi, Manuel Grand-Brochier, and Robin Strand ReScience C: A Journal for Reproducible Replications in Computational Science. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150 Nicolas P. Rougier and Konrad Hinsen Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157

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