Program

 

Monday 19 Tuesday 20 Wednesday 21 Thursday 22
09.00-09.10 Announcements Opening Remarks Announcements Announcements
09.10-10.10 Tutorial 1 Keynote 1 Keynote 2 Keynote 3
10.15-10.40 Coffee Break Coffee Break Coffee Break
10.40-12.00 Oral Session 1 Oral Session 3 Oral Session 5
12.00-14.00 Lunch Lunch Lunch Lunch
14.00-15.20 Tutorial 2 Oral Session 2 Oral Session 4 Oral Session 6
15.20-16.00 Coffee Break Coffee Break Coffee Break
16.00-18.00 Poster Session 1 Poster Session 2 Poster Session 3
Welcome Reception Banquet Awards & Closing


Day 1, Monday October 19

Tutorial 1, 09.00 – 12.00, Amphitheatre Mérieux

Christian Haene and Marc Pollefeys, ETH Zurich
Title: Semantic 3D Modelling

Abstract:
In semantic 3D modelling the goal is to find a dense geometric model from images and at the same time also infer the semantic classes of the individual parts of the reconstructed model. Having a semantically annotated dense 3D model gives a much richer representation of the scene than just the geometry. For example questions such as what is the volume of a building can directly be answered. This is difficult with just a geometric model where the knowledge about which parts of the geometry belong to the building is not present. Also by solving the problem of dense 3D reconstruction and class segmentation jointly, prior knowledge such as the ground is usually a surface which is close to horizontal can be included.

In this tutorial, we use a volumetric representation of the scene. Traditionally, this is done as a two label problem where each voxel gets label into either being in the free space or in the occupied space. For our semantic formulation we extend the representation to a multi-label problem. A voxel either belongs to the free space or to one out of multiple semantic classes describing the occupied space. While such a formulation is quite memory intensive it allows for a very rich description of the scene. For example also not directly observed surfaces between semantic labels can be represented, for example the ground can extend underneath a building. Priors on the surface orientation, that are learnt from training data, are used to faithfully fill in such surfaces between different semantic labels.

In a first part we will introduce the multi-label formulation we are solving to facilitate semantic 3D modelling. The multi-label problem is formulated as a convex optimization problem. The domain gets treated as a continuous space which allows for fully isotropic penalization of surface areas. This reduces the artefacts of the discrete nature of the image pixel grid. In the original formulation only isotropic smoothness terms which need to form a metric over the label space were possible. We will present an extension of these formulations to allow for non-metric and anisotropic surface penalization at the same time. The multi-label formulation is then used for our joint formulation of the dense 3D reconstruction and class segmentation. Furthermore, we will show how 3D object shape priors can be modelled.

Tutorial 2, 14.00 – 17.00, Amphitheatre Mérieux

Bruno Levy, INRIA Lorraine
Title: Mesh Reconstruction and Optimization

Description:
This tutorial aims at giving a panorama of algorithms used to create, manipulate and optimize 3D meshes, with a focus on some representative ones. Starting from raw 3D pointsets, I will describe a set of algorithms that can be used to reconstruct a mesh and then optimize it for different usages, such as visualization, evaluation of some shape indicators and numerical computations.

The tutorial will be illustrated with examples, all available as code sources in my Geogram/Graphite software. I will describe the implementation details with the “tips and tricks” that can make these algorithms efficient, even on multi-million points/polygons datasets. I will also describe several techniques to deal with robustness issues, develop computer arithmetics in arbitrary precision, and discuss whether it is necessary to use it or not.

Introduction
Meshes: what/why/how

I) From points to meshes: surface reconstruction
– Several categories of surface reconstruction methods
– Focus on methods that use a Delaunay triangulation
– Crust and Co-Cone methods, and their variants

II) Improving the mesh: re-meshing methods
– Several categories of surface remeshing algorithms
– Using derivatives: focus on mesh parameterization
– Using integrals: focus on centroidal Voronoi tesselation

III) Implementation – the gritty details
– Make it as simple as possible (but not simpler)
– Halfedges and edgeuses, useful or harmful ?
– Robustness and computer arithmetics

Speaker: Bruno Levy is a researcher in geometry processing and applied mathematics. He leads the ALICE project team in INRIA Nancy Grand-Est and in the LORIA lab. His research topic is numerical geometry, with applications in numerical simulation, real-time rendering and scientific visualization. Some of his results (e.g., LSCM) are used in several commercial and open-source softwares. He defended his Ph.D. thesis in 1999 and received the Gilles Kahn /Académie des Sciences SPECIF national award in 2000. Then he did a post-doc in Stanford. He was program co-chair of ACM SPM in 2007 and 2008, ACM/EG SGP in 2010, Pacific Graphic in 2012 and Eurographics in 2014. He was associate editor of TVCG (IEEE) and Graphical Models (Elsevier). He was awarded a grant from the European Research Council in 2008, received the Lorraine regional young researcher award in 2010 and the INRIA national young researcher award in 2011. Since 2013 he focuses on problems from applied mathematics, and develops new numerical methods to solve non-linear partial derivative equations. He developed the first efficient algorithm to solve the Monge-Ampere equation in 3D (published in ESAIM Mathematical Modeling and Analysis).


Day 2, Tuesday October 20

Keynote 1, 09.10 – 10.10, Amphitheatre Mérieux

Alexander Sorkine-Hornung, Disney Research Zurich
Title: Production-oriented research on Imaging and Video

Abstract: Computer vision research for movies and theme park productions at Disney poses unique challenges in terms of reliability and performance of the algorithms and quality of results.For instance, many existing strategies for image-based 3D reconstruction or video processing have been carefully designed towards sparsely sampled, heterogeneous image data. Such techniques (involving, e.g., complex global optimization) usually become fundamentally impractical to apply to content captured with a dense array of modern cinema cameras at 120 fps at 4k resolution and beyond. At the same time, these methods ignore novel challenges and opportunities arising from extremely dense input. In this talk, I will present our ongoing work in the Imaging and Video Group at Disney Research on 3D scene modeling and processing from densely sampled videos and light fields, which breaks with a number of established practices in computer vision in order to achieve result quality and speed unparalleled by existing methods.

Bio: Alexander Sorkine-Hornung is Senior Research Scientist at Disney Research Zurich, heading the Imaging and Video group. Before joining Disney, Alexander was a postdoctoral researcher at the Computer Graphics Laboratory at ETH Zurich. He obtained his PhD in Computer Science at RWTH Aachen in 2008. Alexander’s research interests lie in all areas related to digital image and video processing. A representative list of topics includes light field and video processing, big data imaging, image-based 3D reconstruction and rendering, color processing, stereoscopy, and visual saliency analysis. Furthermore, he is interested in innovative applications of image-based technologies in the fields of 2D animation and interactive environments. In 2012 Alexander received the Eurographics Young Researcher Award. The research and technologies developed by his group already had significant impact on various Disney park attractions and movie productions, with film credits on movies such as Maleficent, Cinderella, and Big Hero 6.

http://zurich.disneyresearch.com/~ahornung/

Oral Session 1, 10.40 – 12.00, Amphitheatre Mérieux

Chair: Michael Goesele, TU Darmstadt
Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging
Suren Jayasuriya, Adithya Pediredla, Sriram Sivaramakrishnan, Alyosha Molnar, Ashok Veeraraghavan
Towards Probabilistic Volumetric Reconstruction using Ray Potentials
Ali Ulusoy, Andreas Geiger, Michael Black
Multi-view Reconstruction of Highly Specular Surfaces in Uncontrolled Environments
Clément Godard, Peter Hedman, Wenbin Li, Gabriel Brostow
x-hour Outdoor Photometric Stereo
Yannick Hold-Geoffroy, Jinsong Zhang, Paulo F. U. Gotardo, Jean-Francois Lalonde

Oral Session 2, 14.00 – 15.20, Amphitheatre Mérieux

Chair: Philippos Mordohai, Stevens Institute of Technology
Automatic Recovery of Networks of Thin Structures
Meng Song, Daniel Huber
Global Mesh Denoising with Fairness
Sk. Mohammadul Haque, Venu Madhav Govindu
Graph Edit Distance based on Triangle-Stars Decomposition for Deformable 3D Objects Recognition
Kamel Madi, Eric Paquet, Hamida Seba, Hamamache Kheddouci
Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images
Mariano Jaimez Tarifa, Mohamed Souiai, Jörg Stückler, Javier Gonzalez-Jimenez, Daniel Cremers

Poster Session 1, 16.00-18.00, Exposition Hall

Orals from Session 1 and 2 are requested to present posters as well

Title and authors
1. Ensemble Classifier for Combining Stereo Matching Algorithms
Aristotle Spyropoulos, Philippos Mordohai
2. RGB-D Visual Search with Compact Binary Codes
Alioscia Petrelli, Danilo Pau, Emanuele Plebani, Luigi Di Stefano
3. Establishing a Probabilistic Depth Map from Focused Plenoptic Cameras
Niclas Zeller, Franz Quint, Uwe Stilla,
4. A 3D Scene Analysis Framework and Descriptors for Risk Evaluation
Rob Dupre, Vasilis Argyriou, Georgios Tzimiropoulos, Darrel Greenhill
5. Segmentation of 3D Lidar points using Extruded Surface of Cross Section
Hitoshi Niigaki, Jun Shimamura, Akira Kojima
6. A Multi-View Structured Light System for Highly Accurate 3D Modeling
Hyowon Ha, Tae-Hyun Oh, In So Kweon
7.Dense Depth and Albedo from a Single-shot Structured Light
Hyowon Ha, Jaesik Park, In So Kweon
8. Convolutional Fisher Kernels for RGB-D Object Recognition
Yanhua Cheng, Rui Cai, Xin Zhao, Kaiqi Huang
9. Consistent 3D Background Model Estimation from Multi-Viewpoint Videos
Iraklis Tsekourakis, Philippos Mordohai
10. Interference-free Epipole-centered Structured Light Pattern for Mirror-based Multi-view Active Stereo
Tomu Tahara, Ryo Kawahara, Shohei Nobuhara, Takashi Matsuyama
11. Continuous Symmetric Stereo with Adaptive Outlier Handling
Chen Li, Lap-Fai Yu, Zhichao Lu, Yasuyuki Matsushita, Kun Zhou, Stephen Lin
12. Fast and Robust Multi-View 3D Object Recognition in Point Clouds
Guan Pang, Ulrich Neumann
13. Confidence Estimation for Superpixel-based Stereo Matching
Rafael Guveia, Aristotle Spyropoulos, Philippos Mordohai
14. Accurate and Practical 3D Measurement for Translucent Objects by Dashed Lines and Complementary Gray Code Projection
Toshihiro Kobayashi, Tomoaki Higo, Masayoshi Yamasaki, Kiwamu Kobayashi, Akihiro Katayama
15. Low-Cost Depth and Radiological Sensor Fusion to Detect Moving Sources
Phillip Riley, Andreas Enqvist, Sanjeev Koppal
16. Domain adaptation for structure recognition in different building styles
Zhizhong Li,  Daniel Huber
17. Half-Occluded Regions and Detection of Pseudoscopy
Jonathan Bouchard, Yasin Nazzar, James Clark
18. Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging
Suren Jayasuriya, Adithya Pediredla, Sriram Sivaramakrishnan, Alyosha Molnar, Ashok Veeraghavan
19. Towards Probabilistic Volumetric Reconstruction using Ray Potentials
Ali Ulusoy, Andreas Geiger,  Michael Black
20. Multi-view Reconstruction of Highly Specular Surfaces in Uncontrolled Environments
Clément Godard, Peter Hedman, Wenbin Li, Gabriel Brostow
21. x-hour Outdoor Photometric Stereo
Yannick Hold-Geoffroy, Jinsong Zhang, Paulo F. U. Gotardo, Jean-Francois Lalonde
22. Automatic Recovery of Networks of Thin Structures
Meng Song, Daniel Huber
23. Global Mesh Denoising with Fairness
Sk. Mohammadul Haque, Venu Madhav Govindu
24. Graph Edit Distance based on Triangle-Stars Decomposition for Deformable 3D Objects Recognition
Kamel Madi, Eric Paquet, Hamida Seba, Hamamache Kheddouci
25. Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images
Mariano Jaimez Tarifa, Mohamed Souiai, Jörg Stückler, Daniel Cremers, Javier Gonzalez-Jimenez
26. Census-Based Cost on Gradients for Matching under Illumination Differences
Christos Stentoumis, George Karras, Aggelos Amditis

18.30-21.00  Welcome Reception, Exposition Hall


Day 3,  Wednesday October 21

Keynote 2, 09.10 – 10.10, Amphitheatre Mérieux

Luc Robert, Autodesk
Title: 3D Vision at Autodesk

Abstract: Through examples such as 123d® Catch®, Autodesk®Recap® or Memento®, we will show how 3D vision has surfaced on different markets and in different products at Autodesk, and has become a reality for many users. Through the lens of concrete applications and use cases, we will take a look at the current status and upcoming challenges for 3D vision.

Bio: Luc Robert obtained his PhD in 1993 from Inria/Ecole Polytechnique. After a 1-year post-doc at Carnegie Mellon University, he joined Inria in 1995 as a Research Scientist. In 1998, he started the REALVIZ company, acquired by Autodesk in 2008. He is now Senior Software Architect for the Reality Solutions department at Autodesk, that develops technologies and products related to photogrammetry and 3D scanning.

http://www.autodesk.com

Oral Session 3,10.40 – 12.00, Amphitheatre Mérieux

Chair: Ioannis Stamos, City University of New York
Efficient Large-Scale Point Cloud Registration Using Loop Closures
Takaaki Shiratori, Jerome Berclaz, Michael Harville, Chintan Shah, Taoyu Li, Yasuyuki Matsushita, Stephen Shiller
MLMD: Maximum Likelihood Mixture Decoupling for Fast and Accurate Point Cloud Registration
Benjamin Eckart, Kihwan Kim, Alejandro Troccoli, Alonzo Kelly, Jan Kautz
Procrustean point-line registration and the NPnP problem
Andrea Fusiello, Fabio Crosilla, Francesco Malapelle
Accurate Isosurface Interpolation with Hermite Data
Simon Fuhrmann,  Michael Kazhdan,  Michael Goesele

Oral Session 4, 14.00 – 15.20, Amphitheatre Mérieux

Chair: Jean Sebastien Franco, INRIA Grenoble
3D surface reconstruction from point-and-line cloud
Takayuki Sugiura, Akihiko Torii, Masatoshi Okutomi
Learning Hierarchical Semantic Segmentations of LIDAR Data
David Dohan, Brian Matejek, Thomas Funkhouser
Segmentation based features for wide-baseline multi-view reconstruction
Armin Mustafa, Hansung Kim, Evren Imre, Adrian Hilton
3D Modeling on the Go: Interactive 3D Reconstruction of Large-Scale Scenes on Mobile Devices
Thomas Schöps,  Torsten Sattler, Christian Häne, Marc Pollefeys

Poster Session 2, 16.00 -18.00,Exposition Hall

Orals from Session 3 and 4 are requested to present posters as well

Title and authors
1. On Computing the Translations Norm in the Epipolar Graph
Federica Arrigoni, Andrea Fusiello, Beatrice Rossi
2. Multi-Label Object Categorization Using Histograms of Global Relations
Wail Mustafa, Hanchen Xiong, Dirk Kraft, Sandor Szedmak, Justus Piater, Norbert Krüger
3. LiveScan3D: A Fast and Inexpensive 3D Data Acquisition System for Multiple Kinect v2 Sensors
Marek Kowalski, Jacek Naruniec, Michael Daniluk
4. Optimal Camera Parameters for Depth from Defocus
Fahim Mannan, Michael Langer
5. Light-Field Microscopy with a Consumer Light-Field Camera
Loïs Mignard-Debise, Ivo Ihrke
6. Non-Parametric Spectral Model for Shape Retrieval
Andrea Gasparetto, Giorgia Minello,  Andrea Torsello
7. Matchability Prediction for Full-Search Template Matching Algorithms
Adrian Penate-Sanchez, Lorenzo Porzi, Francesc Moreno-Noguer
8. Automatic Indoor 3D Surface Reconstruction with Segmented Building and Object Elements
Eric Turner, Avideh Zakhor
9. Repeatable Local Coordinate Frames for 3D Human Motion Tracking: from Rigid to Non-Rigid
Chun-Hao Huang, Federico Tombari, Nassir Navab
10. Online classification in 3D urban datasets based on hierarchical detection
Thomas Flynn, Olympia Hadjiliadis, Ioannis Stamos
11. Cultural Heritage Acquisition: Geometry-Based Radiometry in the Wild
Thomas Hoell,  Axel Pinz
12. Local Hough Transform for 3D Primitive Detection
Bertram Drost, Slobodan Ilic
13. Multiscale Retinex Aggregation to Enable Robust Dense Stereo Correspondence
Xiongbiao Luo,A . Jonathan McLeod, Uditha L. Jayarathne, , Terry M. Peters
14. Accelerated Relative Camera Pose from Oriented Features
Steven Mills
15. Approximate 3D Partial Symmetry Detection Using Co-Occurrence Analysis
Chuan Li, Michael Wand, Xiaokun Wu, Hans-Peter Seidel
16. Synchronization and Self-Calibration for Helmet-Held Consumer Cameras, Applications to Immersive 3D Modeling and 360 Video
Maxime Lhuillier,Thanh-Tin Nguyen
17. 3-d Tessellation of Plant Tissue – A dual optimization approach to cell-level meristem reconstruction from microscopy images
Guillaume Cerutti, Sophie Ribes, Carlos Galvan Ampudia, Teva Vernoux, Christophe Godin
18. Efficient Large-Scale Point Cloud Registration Using Loop Closures
Takaaki Shiratori, Jerome Berclaz, Michael Harville, Chintan Shah, Taoyu Li, Yasuyuki Matsushita, Stephen Shiller
19. FMLMD: Maximum Likelihood Mixture Decoupling for Fast and Accurate Point Cloud Registration
Benjamin Eckart, Kihwan Kim, Alejandro Troccoli, Alonzo Kelly, Jan Kautz
20. Procrustean point-line registration and the NPnP problem
Andrea Fusiello, Fabio Crosilla, Francesco Malapelle
21. Accurate Isosurface Interpolation with Hermite Data
Simon Fuhrmann,  Michael Kazhdan,  Michael Goesele
22. 3D surface reconstruction from point-and-line cloud
Takayuki Sugiura, Akihiko Torii, Masatoshi Okutomi
23. Learning Hierarchical Semantic Segmentations of LIDAR Data
David Dohan, Brian Matejek, Thomas Funkhouser
24. Segmentation based features for wide-baseline multi-view reconstruction
Armin Mustafa, Hansung Kim, Evren Imre, Adrian Hilton
25. 3D Modeling on the Go: Interactive 3D Reconstruction of Large-Scale Scenes on Mobile Devices
Thomas Schöps,  Torsten Sattler, Christian Häne, Marc Pollefeys
26. Planes Detection for Robust Localization and Mapping in RGB-D SLAM systems
Hakim El Chaoui El Ghor, David Roussel, Fakhreddine Ababsa, El Houssine Bouyakhf

20.00-22.00  Conference Banquet, Abbaye de Collonges


Keynote 3, 09.10 – 10.10, Amphitheatre Mérieux

Adrian Hilton, University of Surrey
Title: 4D Vision for Video-Realistic Interactive Animation

Abstract: Over the past decade advances in computer vision have enabled the 3D reconstruction of dynamic scenes from multiple view video. This has allowed video-based free-viewpoint rendering with the photo-realism of video whilst allowing interactive viewpoint control. This technology initially pioneered for highly controlled indoor scenes has been extended to free-viewpoint rendering of large-scale outdoor scenes such as sports for TV production. Free-viewpoint video content is limited to the replay of the captured performance. This talk will present results of recent research in 4D vision research for actor performance capture which allows both video-realistic free-viewpoint rendering and interactive control of movement. Recent research has introduced methods for spatio-temporal alignment and parametric representation of dynamic shape and appearance from capture performance to allow interactive control whilst maintaining the realism of the captured video. This opens-up the potential for reuse of 4D performance capture to create video-realistic characters for immersive entertainment. This talk will review recent advances and identify future research challenges for 4D vision in entertainment and human motion analysis.

Bio: Adrian Hilton, BSc(hons),DPhil,CEng, is Professor of Computer Vision and Graphics and Director of the Centre for Vision, Speech and Signal Processing at the University of Surrey, UK. He leads research investigating the use of computer vision for applications in entertainment content production, visual interaction and clinical analysis.
His interest is in robust computer vision to model and understand real world scenes and his work in bridging-the-gap between real and computer generated imagery combines the fields of computer vision, graphics and animation to investigate new methods for reconstruction, modelling and understanding of the real world from images and video. Applications include: sports analysis (soccer, rugby and athletics), 3D TV and film production, visual effects, character animation for games, digital doubles for film and facial animation for visual communication. Contributions include technologies for the first hand-held 3D scanner, modeling of people from images and 3D video for games, broadcast and film production. Current research is focused on video-based measurement in sports, multiple camera systems in film and TV production, and 3D video for highly realistic animation of people and faces. Research is conducted in collaboration with UK companies and international institutions in the creative industries
Adrian is currently the Principal Investigator of the multi-million EPSRC Progamme Grant S3A: ‘Future Spatial Audio for Immersive Listener Experience at Home’ (2013-2018), he also leads several EU and UK/ industry projects. Adrian currently holds a 5-year Royal Society Wolfson Research Merit Award (2013-2018).

Adrian Hilton’s Website

Day 4, Thursday October 22

Oral Session 5, 10.40 – 12.00, Amphitheatre Mérieux

Chair: Jean Francois Lalonde, Laval University
Shadow Detection and Sun Direction in Photo Collections
Scott Wehrwein, Kavita Bala, Noah Snavely
A Bayesian Approach for Selective Image-Based Rendering using Superpixels
Rodrigo Ortiz-Cayon, Abdelaziz Djelouah, George Drettakis
Video based Animation Synthesis with the Essential Graph
Adnane Boukhayma, Edmond Boyer
The Geometry of Colorful, Lenticular Fiducial Markers
Ian Schillebeeckx, Joshua Little, Brendan Kelly, Robert Pless

Oral Session 6, 14.00 – 15.20, Amphitheatre Mérieux

Chair: Adrian Hilton, University of Surrey
A Combined Generalized and Subject-Specific 3D Head Pose Estimation
David Joseph Tan, Federico Tombari, Nassir Navab
Dictionary Learning based 3D Morphable Model Construction for Face Recognition with Varying Expression and Pose
Claudio Ferrari, Giuseppe Lisanti,  Stefano Berretti, Alberto Del Bimbo
Monocular 3D human pose estimation with a semi-supervised graph-based method
Mahdieh Abbasi, Hamid Reza Rabiee, Christian Gagné
Point Pair Features Based Object Detection and Pose Estimation Revisited
Tolga Birdal, Slobodan Ilic

Poster Session 3, 16.00 -17.30,Exposition Hall

Orals from Session 5 and 6 are requested to present posters as well

Title and authors
1. Super-Resolution Keyframe Fusion for 3D Modeling with High-Quality Textures
Robert Maier, Joerg Stueckler, Daniel Cremers
2. Towards Skeleton based Reconstruction: From Projective Skeletonization to Canal Surface Estimation
Bastien Durix,  Morin Geraldine, Sylvie Chambon, Celine Roudet, Lionel Garnier
3. Estimation of Branch Angle from 3D Point Cloud of Plants
Lu Lou,Yonghuai Liu, Minglan Shen, Jiwan Han, Fiona Corke, John H. Doonan
4. Unsupervised Temporal Segmentation of Repetitive Human Actions Based on Kinematic Modeling and Frequency Analysis
Qifei Wang, Gregorij Kurillo, Ferda Ofli, Ruzena Bajcsy
5. On Preserving Structure in Stereo Seam Carving
Kuo-Chin Lien, Matthew Turk
6. Depth Estimation Based on an Infrared Projector and an Infrared Color Stereo Camera by Using Cross-based Dynamic Programming with Cost Volume Filter
Kensuke Hisatomi, Masanori Kano, Kensuke Ikeya,Miwa Katayama, Tomoyuki Mishina, Kiyoharu Aizawa
7. Audio Visual Synchronization of Rhythm
Andrew Godbout, Jeffrey Boyd
8. Super Generalized 4PCS for 3D Registration
Mustafa Mohamad, Mirza Tahir Ahmed, David Rappaport, Michael Greenspan
9. Reconstructing Street-Scenes in Real-Time From a Driving Car
Vladyslav Usenko, Jakob Engel,  Jörg Stückler, Daniel Cremers
10. Ground Segmentation based on Loopy Belief Propagation of Sparse 3D Point Clouds
Mingfang Zhang, Daniel Morris, Rui Fu
11. A New Flying Range Sensor: Aerial Scan in Omini-directions
Bo Zheng, Xiangqi Huang, Ryoichi Ishikawa, Takeshi Oishi,Katsushi Ikeuchi
12. Tracking fractures of deformable objects in real-time with an RGB-D sensor
Antoine Petit,  Vincenzo Lippiello, Bruno Siciliano
13. Estimating surface normals with depth image gradients for fast and accurate registration
Yosuke Nakagawa, Hideaki Uchiyama, Hajime Nagahara, Rin-ichiro Taniguchi
14. Reconstruction of 3D Pose for Surfaces of Revolution from Range Data
Georgios Pavlakos, Kostas Daniilidis
15. Shadow Detection and Sun Direction in Photo Collections
Scott Wehrwein, Kavita Bala, Noah Snavely
16. A Bayesian Approach for Selective Image-Based Rendering using Superpixels
Rodrigo Ortiz-Cayon, Abdelaziz Djelouah, George Drettakis
17. Video based Animation Synthesis with the Essential Graph
Adnane Boukhayma, Edmond Boyer
18. The Geometry of Colorful, Lenticular Fiducial Markers
Ian Schillebeeckx,  Joshua Little, Brendan Kelly, Robert Pless,
19. A Combined Generalized and Subject-Specific 3D Head Pose Estimation
David Joseph Tan, Federico Tombari, Nassir Navab
20. Dictionary Learning based 3D Morphable Model Construction for Face Recognition with Varying Expression and Pose
Claudio Ferrari, Giuseppe Lisanti,  Stefano Berretti, Alberto Del Bimbo
21. Monocular 3D human pose estimation with a semi-supervised graph-based method
Mahdieh Abbasi, Hamid Reza Rabiee, Christian Gagne
22. Point Pair Features Based Object Detection and Pose Estimation Revisited
Tolga Birdal, Slobodan Ilic

17.30-18.00  Awards and Closing, Amphitheatre Mérieux