Eurographics Workshop on 3D Object Retrieval 2017

logo 3DOR The M2Disco team organized the “Eurographics Workshop on 3D Object Retrieval 2017” which was held on 23 and 24 April in Lyon. This was the 10th edition of this international workshop bringing together the scientific community of 3D shape retrieval and indexing.
This edition had an excellent attendance with 50 participants. Numerous works have been presented as well as the results of the SHREC 2017 competition ( Two internationally renowned researchers gave invited lectures:
– Leonidas Guibas – Stanford University
– Daniel Cremers – Technical University, MunichMore information:


10th Eurographics Workshop on 3D Object Retrieval

logo 3DOR Le workshop 3DOR aura lieu à Lyon les 23 et 24 Avril 2017. Au programme :

Dimanche 23/04/2017

Paper Session 1

– Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval, Konstantinos Sfikas, Theoharis Theoharis and Ioannis Pratikakis
– LightNet: A Lightweight 3D Convolutional Neural Network for Real-Time 3D Object Recognition, Shuaifeng Zhi, Yongxiang Liu, Xiang Li and Yulan Guo
– Unstructured point cloud semantic labeling using deep segmentation networks, Alexandre Boulch, Bertrand Le Saux and Nicolas Audebert

SHREC Session I

– Track 1 : RGB-D Object-to-CAD Retrieval, Organizers: Binh-Son Hua, Quang-Hieu Pham, Minh-Khoi Tran, Quang-Trung Truong
– Track 2: 3D Hand Gesture Recognition Using a Depth and Skeletal Dataset, Organizers: Quentin De Smedt, Hazem Wannous, Jean-Phillipe Vandeborre
– Track 3: Large-scale 3D Shape Retrieval from ShapeNet Core55, Organizers: Manolis Savva, Hao Su, Fisher Yu, Thomas Funkhouser

EU Project Presentations

– Gravitate – Geometric Reconstruction And novel semantIc reunification of cultural heritage objects (, Michela Spagnuolo
– DigiArt – The Internet Of Historical Things And Building New 3D Cultural Worlds ( ), Frederic Precioso
Multimodal Scanning of Cultural Heritage Assets for their multilayered digitization and preventive conservation via spatiotemporal 4D Reconstruction and 3D Printing (, Andrea Giachetti
– Harvest4D – Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds ( ) Tamy Boubekeur

Keynote 1

Some Recent Developments in 3D Shape Acquisition and Analysis, Daniel Cremers (Technical University, Munich)

Lundi 24/04/2017

Keynote 2

Object-Centric Machine Learning, Leonidas Guibas (Stanford University)

Poster Fast Forward

– Shape Similarity System driven by Digital Elevation Models for Non-rigid Shape Retrieval, Daniela Craciun, Guillaume Levieux, and Matthieu Montes
– Sketch-based 3D Object Retrieval with Skeleton Line Views – Initial Results and Research Problems, Zhao Xueqing, Robert Gregor, Pavlos Mavridis and Tobias Schreck
– GSHOT: a Global Descriptor from SHOT to Reduce Time and Space Requirements, Carlos M. Mateo, Pablo Gil and Fernando Torres
– A framework based on Compressed Manifold Modes for robust local spectral analysis, Sylvain Haas, Atilla Baskurt, Florent Dupont and Florence Denis

SHREC Session II

– Track 4 : Classification of protein shapes,
Organizer: Haiguang Liu
– Track 5: Point-Cloud Shape Retrieval of Non-Rigid Toys,
Organizers: Frederico A. Limberger, Richard C. Wilson
– Track 6: Deformable Shape Retrieval with Missing Parts,
Organizers: Emanuele Rodolà, Or Litany, Michael Bronstein
– Track 7: Retrieval of relief patterns,
Organizers: Silvia Biasotti, Andrea Giachetti

Paper Session II

– 3D Mesh Unfolding via Semidefinite Programming,
Juncheng Liu, Zhouhui Lian and Jianguo Xiao
– Directed Curvature Histograms for Robotic Grasping,
Rodrigo Schulz, Pablo Guerrero and Benjamin Bustos
– Semantic correspondence across 3D models for example-based modeling,
Vincent Léon, Vincent Itier, Nicolas Bonneel, Guillaume Lavoué and Jean-Philippe Vandeborre
– Towards Recognizing of 3D Models Using A Single Image,
Hatem Rashwan, Sylvie Chambon, Geraldine Morin, Pierre Gurdjos and Vincent Charvillat

Pour en savoir plus

PhD Defense : “Compression progressive de maillages surfaciques texturés”, Florian CAILLAUD

Tuesday, janunary 17th 2017 – 9:30,
Room 337 Building Blaise Pascal,
– ALLIEZ Pierre, Directeur de recherche, INRIA Sophia-Antipolis, Rapporteur
– BONNEAU George-Pierre, Professeur des universités, Université Grenoble Alpes, Rapporteur
– BECHMANN Dominique, Professeure des universités, Université de Strasbourg, Examinatrice
– HUDELOT Céline, Maître de conférence, École Centrale Paris, Examinatrice
– LAVOUÉ Guillaume, Maître de conférence HDR, INSA Lyon, Directeur de these
– VIDAL Vincent, Maître de conférence, Université Claude Bernard Lyon, Co-encadrant
– DUPONT Florent, Professeur des universités, Université Claude Bernard Lyon, Examinateur
Since several years, 3D models become more and more detailed. This increases substantially the amount of data needed to describe them. However, in the same time, a rising number of applications are constrained in memory and/or in speed (mobile device
visualization, video games, etc.). These difficulties are even more visible within a Web context. This situation can lead to incompatibilities, latency in transmission or rendering,
which is generally an issue.
The progressive compression of these models is a possible solution. The goal is to compress the information (geometry, connectivity and associated attributes) in order to allow a progressive reconstruction of the mesh. Contrary to a single-rate compression,
progressive compression quickly proposes a faithful draft of the 3D model and, then, refines it until the complete mesh is recovered. This allows a better comfort for the user and a real adaptation of the rendered element number in adequacy with the terminal
device properties.
The existing approaches for progressive compression mainly focus on triangular 2-manifold meshes. Very few methods are able to compress progressively non-manifold surface meshes and, to our knowledge, none can deal with every surface meshes (i.e. nomanifold
and polygonal), in a generic way. So as to suppress these limitations, we present a new generic progressive method allowing the compression of polygonal non-manifold surface meshes. Moreover, our approach takes care of the texture attribute, possibly associated to these meshes, by handling properly potential texture seams.
For that purpose, we progressively decimate the mesh using a new generic simplification operator. This decimation is driven by a local metric which aims to preserve both the geometry and the texture parametrisation. During the simplification, we progressively encode the necessary information for the reconstruction. In order to improve the compression rate, we propose several entropy reduction mechanisms, as well as geometry based prediction strategies for the connectivity and UV coordinates encoding. Finally, the texture map is progressively compressed then multiplexed with mesh data. This multiplexing is achieved using a perceptual metric to provide the best rate-distortion ratio as possible during the decompression.

PhD Defense : “Evaluationg the visibility threshold for a local geometric distorsion on a 3D mesh and its application”, Georges NADER

Tuesday, november 22th 2016 – 10h00,
Room C4, building Nautibus,
Université Claude Bernard Lyon1, 69100 VILLEURBANNEJury
– M. Tamy Boubekeur, Professeur, Telecom ParisTech, Rapporteur
– M. Patrick Le Callet, Professeur, Université de Nantes, Rapporteur
– Mme Luce Morin, Professeur, Insa Rennes, Examinatrice
– Mme Géraldine Morin, Maitre de Conférences, INP Toulouse, Examinatrice
– Mme Florence Denis, Maitre de Conférences, Université Claude Bernard Lyon 1, Examinatrice
– M. Florent Dupont, Professeur, Université Claude Bernard Lyon 1, Directeur de thèse
– M. Franck Hétroy-Wheeler, Maitre de Conférences, Grenoble INP, Co-directeur de thèse
– M. Kai Wang, Chargé de Recherche CNRS, Co-encadrant de thèse
Geometric operations applied to a 3D mesh introduce geometric distortion in the form of vertex displacement that can be visible to a human observer. In this thesis, we have studied the perceptual impact of these geometric distortions. More precisely, our goal is to compute the threshold beyond which a local geometric distortion becomes visible. In order to reach this goal, we start by evaluating perceptually relevant properties on 3D meshes. We have then performed a series of psychophysical experiments in which we measured the visibility threshold relative to various properties of the Human Visual System (contrast sensitivity and visual masking). The results of these experiments allowed us to propose an algorithm that computes the visibility threshold relative to a local geometric distortion. This algorithm is capable of adapting to the different display condition of 3D meshes (resolution, display size, illumination condition and rendering). Finally, we showcase the utility of our work by integrating the developed perceptual method in several geometric operations such as mesh simplification and adaptive subdivision.

Pacific Graphics 2016 : Best Paper Award

Pacific Graphics The paper “Visual Contrast Sensitivity and Discrimination for 3D Meshes and their Applications” from Georges Nader*, Kai Wang, Franck Hetroy-Wheeler and Florent Dupont* (*M2DisCo Team members) received the best paper award of the Pacific Graphics conference held in Okinawa (Japan) (2016 october 11-14).

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PhD Defense : “Contributions to Objective and Subjective Visual Quality Assessment of 3D Models”, Jinjinag GUO

Thursday, october 6th 2016 – 10h30,
Amphi 337 – 3rd floor, building Blaise Pascal,
INSA Lyon,7 avenue Jean Capelle, 69100 VILLEURBANNEJury
– DAOUDI Mohamed, PR LIFL, TELECOM Lille 1 Rapporteur
– PUECH William, PR LIRMM Rapporteur
– DANIEL Marc, PR LSIS, Polytech Marseille Examinateur
– LARABI Mohamed-Chaker, MC XLIM-SIC Examinateur
– LAVOUÉ Guillaume, MC LIRIS, INSA Lyon Directeur de thèse
– VIDAL Vincent, MC LIRIS, Université Lyon 1 Co-directeur de thèse
– BASKURT Atilla, PR LIRIS, INSA Lyon Co-directeur de thèse
In computer graphics realm, three-dimensional graphical data, generally represented by triangular meshes, have become commonplace, and are deployed in a variety of application processes (e.g., smoothing, compression, remeshing, simplification, rendering, etc.). However, these processes inevitably introduce artifacts, altering the visual quality of the rendered 3D data. Thus, in order to perceptually drive the processing algorithms, there is an increasing need for efficient and effective subjective and objective visual quality assessments to evaluate and predict the visual artifacts. In this thesis, we first present a comprehensive survey on different sources of artifacts in digital graphics, and current objective and subjective visual quality assessments of the artifacts. Then, we introduce a newly designed subjective quality study based on evaluations of the local visibility of geometric artifacts, in which observers were asked to mark areas of 3D meshes that contain noticeable distortions. The collected perceived distortion maps are used to illustrate several perceptual functionalities of the human visual system (HVS), and serve as ground-truth to evaluate the performances of well-known geometric attributes and metrics for predicting the local visibility of distortions. Our second study aims to evaluate the visual quality of texture mapped 3D model subjectively and objectively. To achieve these goals, we introduced 116 processed models with both geometric and texture distortions, conducted a paired-comparison subjective experiment, and invited 98 subjects to evaluate the visual qualities of the models under two rendering protocols. Driven by the collected subjective opinions, we propose two objective visual quality metrics for textured meshes, relying on the optimal combinations of geometry and texture quality measures. These proposed perceptual metrics outperform their counterparts in term of the correlation with the human judgment.

Four papers accepted to Pacific graphics 2016

Pacific Graphics Three papers from the M2Disco team have been accepted as Full Papers to Pacific Graphics 2016 and will be published in Computer Graphic Forum.
One short paper has also been accepted.
  • Visual Contrast Sensitivity and Discrimination for 3D Meshes and their Applications, Georges
    , Kai Wang, Franck Hétroy-Wheeler and Florent Dupont.
  • Piecewise smooth reconstruction of normal vector field on digital data, David
    Marion Foare, Pierre Gueth, Jacques-Olivier Lachaud.
  • Progressive Compression of Arbitrary Textured Meshes,
    Florian Caillaud, Vincent VidalFlorent Dupont and Guillaume Lavoué.
  • Interactive Multicut Video Segmentation, Evgeny Levinkov, James Tompkin, Nicolas
    , Steffen Kirchhoff, Bjoern Andres, Hanspeter Pfister.

DGtal Project has been received the « Symposium on Geometry Processing Software Award » 2016

 La pateforme DGtal reçoit le « Symposium on Geometry Processing Software Award » 2016 The DGtal project ( has received the software award at the Symposium on Geometry Processing 2016 (june 20th-24th, Berlin).

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Optimal Transport at SIGGRAPH 2016

transport-optimal-a-siggraph-2016 In the context of a collaboration between LIRIS, CEREMADE (Paris-Dauphine) and Kyoto University, Nicolas Bonneel will present his work on barycentric coordinates for histograms at SIGGRAPH 2016 in Anaheim (CA).

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Nicolas Bonneel selected by GDR IGRV and AFIG to cover SIGGRAPH

Le GDR IGRV et l'AFIG selectionnent Nicolas Bonneel pour couvrir SIGGRAPH SIGGRAPH is a major annual event in computer graphics, organized by the ACM. This conference benefits from between 10 and 20 000 attendees – artists, researchers, companies – and represents every aspect of computer graphics: rendering, photography, 3D printing, animation etc. This year, Nicolas Bonneel has been selected by the AFIG and GDR IGRV to cover this event that will take place in Anaheim in California, from July 24th to 28th, 2016.

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