AntoineLetouzey

Learning Shape Topology

The purpose of this work is to sequentially learn the correct topology of a scene. Based on incomplete observations, such as a temporal sequence of meshes reconstructed from visual hulls, we can progressively build a template mesh that will fit the entiere sequence. Our method rely on the assumption that object have a fixed topology and do not physicaly merge. Hence every new topological evidence observed is added to the template.

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Will be filled after CVPR 2012



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Scene Flow

In this work we study how to incorporate, in an efficient way, various constraints when estimating dense motion information over 3D surfaces from temporal variations of the intensity function in several images. Our primary motivation is to provide robust motion cues that can be directly used by an application, e.g. interactive applications, or that can be fed into more advanced tasks such as surface tracking or segmentation. The approach is however not limited to a specific scenario and applies to any application that can benefit from low level motion information. We explore the combination of heterogeneous photometric and geometric cues in an unified framework. We fuse 2D and 3D, sparse and dense information to constrain the estimation of the instantaneous 3D scene flow on a surface. This project uses the output of any multi-camera system, such as Grimage, which gives for each time step a set of calibrated images. Our framework merges constraints coming from 2D normal flow, sparse 2D features matching in the images, sparse 3D features matching on the surfaces and a regularization term to provide an accurate and smooth motion field over the surface.

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Here are some videos showing results on real datasets




Pipeline of our method for depht maps


pipeline


Other materials


BMVC Poster BMVC Abstract VMV Slides


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Master thesis - Plane detection in images

This is the work I did during my research internship during my second year of Master in Toulouse. The purpose was to use line correspondances in image pairs to detect simultaneously every plans in a scene. Fisrt I adapted an existing technic based on generalized principal component analysis developped by Yi Ma used to find the number and parameters of subspaces defined by data points in a space of higher dimension. The results were nice but very sensitiv to noise. That's why we decided to devellop a new approach, we used a technic that fits well in the context of urban scenes. Using an estimation of the projection of the border between every pair of plans we were able to segment all lines used as input and then compute each plan's set of parameters.

Teaching

Publications

2020

Article dans une revue

titre
Enhanced Laparoscopic Vision Improves Detection of Intraoperative Adverse Events During Laparoscopy
auteur
Bertrand Trilling, Sinara Vijayan, Cecile Goupil, Elio Kedisseh, Antoine Letouzey, P.A. Barraud, J.L. Faucheron, Gaëlle Fiard, Sandrine Voros
article
Innovation and Research in BioMedical engineering, Elsevier Masson, In press, ⟨10.1016/j.irbm.2020.12.001⟩
Accès au texte intégral et bibtex
https://hal.univ-grenoble-alpes.fr/hal-03054368/file/20-10-12_ELVIS%20to%20improve%20laparoscopy_final_forHAL.pdf BibTex

2012

Article dans une revue

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titre
Flot de scène
auteur
Antoine Letouzey, Benjamin Petit, Edmond Boyer
article
Traitement du Signal, Lavoisier, 2012, 29 (3-5), pp.255-281. ⟨10.3166/ts.29.255-281⟩
Accès au texte intégral et bibtex
https://hal.inria.fr/hal-00746460/file/TS.pdf BibTex

Communication dans un congrès

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titre
Progressive Shape Models
auteur
Antoine Letouzey, Edmond Boyer
article
CVPR - Computer Vision and Patern Recognition - 2012, Jun 2012, Providence, United States. pp.190-197, ⟨10.1109/CVPR.2012.6247675⟩
Accès au texte intégral et bibtex
https://hal.inria.fr/hal-00677506/file/cvpr.pdf BibTex
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titre
Modèles progressifs de forme
auteur
Antoine Letouzey, Edmond Boyer
article
CORESA - COmpression et REprésentation des Signaux Audiovisuels - 2012, Mohamed Daoudi, May 2012, Lille, France
Accès au texte intégral et bibtex
https://hal.inria.fr/hal-00683549/file/coresa_PSM.pdf BibTex
pipeline.jpg
titre
Flot de scène à partir d'images couleur et de cartes de profondeur
auteur
Antoine Letouzey, Benjamin Petit, Edmond Boyer
article
RFIA 2012 - Reconnaissance des Formes et Intelligence Artificielle, Jan 2012, Lyon, France. pp.978-2-9539515-2-3
Accès au texte intégral et bibtex
https://hal.archives-ouvertes.fr/hal-00656484/file/rfia2012_submission_4.pdf BibTex

Thèse

titre
Modélisation 4D à partir de plusieurs caméras
auteur
Antoine Letouzey
article
Autre [cs.OH]. Université de Grenoble, 2012. Français. ⟨NNT : 2012GRENM054⟩
Accès au texte intégral et bibtex
https://tel.archives-ouvertes.fr/tel-00776075/file/24493_LETOUZEY_2012_archivage.pdf BibTex

2011

Communication dans un congrès

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titre
Surface Flow from Visual Cues
auteur
Benjamin Petit, Antoine Letouzey, Edmond Boyer, Jean-Sébastien Franco
article
VMV 2011 - Vision, Modeling and Visualization Workshop, Oct 2011, Berlin, Germany. pp.1-8, ⟨10.2312/PE/VMV/VMV11/001-008⟩
Accès au texte intégral et bibtex
https://hal.inria.fr/inria-00631476/file/surface_flow_from_visual_cues.pdf BibTex
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titre
Scene Flow from Depth and Color Images
auteur
Antoine Letouzey, Benjamin Petit, Edmond Boyer
article
BMVC 2011 - British Machine Vision Conference, Aug 2011, Dundee, United Kingdom. pp.46:1-11, ⟨10.5244/C.25.46⟩
Accès au texte intégral et bibtex
https://hal.inria.fr/inria-00616353/file/main.pdf BibTex
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titre
Flot de surface à partir d'indices visuels
auteur
Benjamin Petit, Antoine Letouzey, Edmond Boyer
article
ORASIS - Congrès des jeunes chercheurs en vision par ordinateur, INRIA Grenoble Rhône-Alpes, Jun 2011, Praz-sur-Arly, France
Accès au texte intégral et bibtex
https://hal.inria.fr/inria-00595247/file/orasis_id_11.pdf BibTex

Rapport

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titre
Surface Flow from Visual Cues
auteur
Benjamin Petit, Antoine Letouzey, Edmond Boyer
article
[Research Report] RR-7619, INRIA. 2011, pp.18
Accès au texte intégral et bibtex
https://hal.inria.fr/inria-00593206/file/RR-7619.pdf BibTex