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Vitae


Yvain Quéau est chargé de recherche (CR) CNRS au GREYC (UMR CNRS 6072) à Caen, France. Il a effectué son doctorat de 2012 à 2015 à l'INP Toulouse sous la direction de Jean-Denis Durou, puis un post-doctorat à TU Munich dans le groupe de Daniel Cremers. Ses domaines de recherches privilégiés sont les problèmes inverses en vision par ordinateur, en particulier les problèmes de reconstruction 3D et leur résolution par des méthodes variationnelles.


Journal articles15 documents

  • Robert Kenner, Valentin Gischig, Zan Gojcic, Yvain Quéau, Christian Kienholz, et al.. The potential of point clouds for the analysis of rock kinematics in large slope instabilities: examples from the Swiss Alps: Brinzauls, Pizzo Cengalo and Spitze Stei. Landslides, Springer Verlag, 2022, ⟨10.1007/s10346-022-01852-4⟩. ⟨hal-03616418⟩
  • Bjoern Haefner, Songyou Peng, Alok Verma, Yvain Quéau, Daniel Cremers. Photometric Depth Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2020, 42 (10), pp.2453--2464. ⟨10.1109/TPAMI.2019.2923621⟩. ⟨hal-02145726⟩
  • Georg Radow, Laurent Hoeltgen, Yvain Quéau, Michael Breuss. Optimisation of classic photometric stereo by non-convex variational minimisation. Journal of Mathematical Imaging and Vision, Springer Verlag, 2019, 61 (1), pp.84-105. ⟨10.1007/s10851-018-0828-7⟩. ⟨hal-02087698⟩
  • Yvain Quéau, Jean-Denis Durou, Jean-François Aujol. Normal Integration: A Survey. Journal of Mathematical Imaging and Vision, Springer Verlag, 2018, 60 (4), pp.576-593. ⟨10.1007/s10851-017-0773-x⟩. ⟨hal-02118484⟩
  • Jean Mélou, Yvain Quéau, Jean-Denis Durou, Fabien Castan, Daniel Cremers. Variational Reflectance Estimation from Multi-view Images. Journal of Mathematical Imaging and Vision, Springer Verlag, 2018, 60 (9), pp.1527-1546. ⟨10.1007/s10851-018-0809-x⟩. ⟨hal-02087984⟩
  • Yvain Quéau, Jean-Denis Durou, Jean-François Aujol. Variational Methods for Normal Integration. Journal of Mathematical Imaging and Vision, Springer Verlag, 2018, 60 (4), pp.609-632. ⟨10.1007/s10851-017-0777-6⟩. ⟨hal-02118476⟩
  • Yvain Quéau, Bastien Durix, Tao Wu, Daniel Cremers, François Lauze, et al.. LED-Based Photometric Stereo: Modeling, Calibration and Numerical Solution. Journal of Mathematical Imaging and Vision, Springer Verlag, 2018, 60 (3), pp.313-340. ⟨10.1007/s10851-017-0761-1⟩. ⟨hal-02118488⟩
  • Yvain Quéau, Florian Leporcq, Ayman Alfalou. Design and simplified calibration of a Mueller imaging polarimeter for material classification. Optics Letters, Optical Society of America - OSA Publishing, 2018, 43 (20), pp.4941. ⟨10.1364/OL.43.004941⟩. ⟨hal-02169371⟩
  • Martin Bähr, Michael Breuss, Yvain Quéau, Ali Sharifi Boroujerdi, Jean-Denis Durou. Fast and Accurate Surface Normal Integration on Non-Rectangular Domains. Computational Visual Media, Springer, 2017, vol. 3 (n° 2), pp. 107-129. ⟨10.1007/s41095-016-0075-z⟩. ⟨hal-01712543⟩
  • Yvain Quéau, Roberto Mecca, Jean-Denis Durou, Xavier Descombes. Photometric Stereo with Only Two Images: A Theoretical Study and Numerical Resolution. Image and Vision Computing, Elsevier, 2017, pp.175--191. ⟨10.1016/j.imavis.2016.11.006⟩. ⟨hal-01334657v2⟩
  • Yvain Quéau, Bastien Durix, Tom Lucas, Jade Boumaza, Jean-Denis Durou, et al.. Fusion de données RVB-D par stéréophotométrie colorée. Traitement du Signal, Lavoisier, 2017, 34 (HS), pp.35-61. ⟨hal-01409663v2⟩
  • Yvain Quéau, Richard Modrzejewski, Pierre Gurdjos, Jean-Denis Durou. A full photometric and geometric model for attached webcam/matte screen devices. Signal Processing: Image Communication, Elsevier, 2016, 40, pp.65-81. ⟨10.1016/j.image.2015.11.006⟩. ⟨hal-01273010⟩
  • Roberto Mecca, Yvain Quéau, Fotios Logothetis, Roberto Cipolla. A Single-Lobe Photometric Stereo Approach for Heterogeneous Material. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2016, 9 (4), pp.1858-1888. ⟨10.1137/16M1068177⟩. ⟨hal-02118497⟩
  • Yvain Quéau, François Lauze, Jean-Denis Durou. Solving Uncalibrated Photometric Stereo using Total Variation. Journal of Mathematical Imaging and Vision, Springer Verlag, 2015, vol. 52 (n° 1), pp. 87-107. ⟨10.1007/s10851-014-0512-5⟩. ⟨hal-01360868⟩
  • Yvain Quéau, Jean-Denis Durou, Bastien Durix, Vincent Charvillat. Stéréophotométrie non calibrée en présence d’écarts au modèle lambertien. Traitement du Signal, Lavoisier, 2012, 22 (1), pp.1-33. ⟨10.3166/TS.22.1-33⟩. ⟨hal-02118500⟩

Conference papers47 documents

  • Clément Hardy, Yvain Quéau, David Tschumperlé. Construction d'un jeu de données d'apprentissage adapté pour la reconstruction 3D par stéréophotométrie. GRETSI 2022, Sep 2022, Nancy, France. ⟨hal-03777667⟩
  • Hugo Pauget-Ballesteros, Gilles Azzaro, Jean Mélou, Yvain Quéau, J.-D. Durou. Read Your Voice - A Playful Interactive Sound Encoder/Decoder. Workshop of 30th ACM International Conference on Multimedia: Interractive Artwork (2022), Oct 2022, Lisbonne, Portugal. à paraître, ⟨10.1145/1122445.1122456⟩. ⟨hal-03794937⟩
  • Yvain Quéau. Inverse Problems and Cultural Heritage Accessibility. SIAM Conference on Imaging Sciences, Mar 2022, Berlin (online), Germany. ⟨hal-03684351⟩
  • Yvain Quéau. Photometric 3D-reconstruction. International Conference on Quality Control by Artificial Vision (QCAV 2021), 2021, Tokushima (online), Japan. ⟨hal-03229589⟩
  • Yvain Quéau, Matthieu Pizenberg, Abderrahim Elmoataz. N-D Reconstruction for Cultural Heritage Accessibility: Multimodal and 3D Digitization of the Bayeux Tapestry. International Symposium on Optomechatronic Technology (ISOT) 2021, Nov 2021, Besançon, France. ⟨hal-03416350⟩
  • Zhenzhang Ye, Bjoern Haefner, Yvain Quéau, Thomas Möllenhoff, Daniel Cremers. Sublabel-Accurate Multilabeling Meets Product Label Spaces. 43rd DAGM German Conference on Pattern Recognition, 2021, Bonn (online event), Germany. ⟨hal-03358467⟩
  • Matthieu Pizenberg, Yvain Quéau, Abderrahim Elmoataz. Low-rank registration of images captured under unknown, varying lighting. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021), 2021, Cabourg, France. pp.153-164, ⟨10.1007/978-3-030-75549-2_13⟩. ⟨hal-03172399⟩
  • yvain Quéau. Fine-scale 3D-copying for Culturage Heritage. INDAM Workshop "Mathematical Methods for Objects Reconstruction: from 3D Vision to 3D Printing", Feb 2021, Roma (online), Italy. ⟨hal-03157559⟩
  • Steve Bellart, Sarah-Myriam Ben Seddik, Matthew Cassidy, Jérôme Dolbecq, Noah Guitton, et al.. Reconstruction 3D d'un insecte piégé dans l'ambre. Congrés Reconnaissance des Formes, Image, Apprentissage et Perception - RFIAP 2020, Sep 2020, Vannes, France. ⟨hal-02568259⟩
  • Yvain Quéau. Photometric 3D-reconstruction. DTU, DIKU & AAU Summer School on Inverse Problems, Aug 2020, Faaborg, Denmark. ⟨hal-03157582⟩
  • Matthew Cassidy, Jean Mélou, Yvain Quéau, François Lauze, Jean-Denis Durou. Refractive Multi-view Stereo. International Conference on 3D Vision (3DV 2020), Nov 2020, Fukuoka (on line), Japan. pp.384-393, ⟨10.1109/3DV50981.2020.00048⟩. ⟨hal-02964852⟩
  • Yvain Quéau. Variational methods for photometric 3D-reconstruction. Imaging in Paris Seminar, Oct 2019, Institut Henri Poincaré, Paris, France. ⟨hal-03157545⟩
  • Bjoern Haefner, Zhenzhang Ye, Maolin Gao, Tao Wu, Yvain Quéau, et al.. Variational Uncalibrated Photometric Stereo under General Lighting. The IEEE International Conference on Computer Vision (ICCV 2019), Oct 2019, Seoul, South Korea. pp.8539-8548, ⟨10.1109/ICCV.2019.00863⟩. ⟨hal-02089403v2⟩
  • Bjoern Haefner, Yvain Quéau, Daniel Cremers. Photometric Segmentation: Simultaneous Photometric Stereo and Masking. International Conference on 3D Vision (3DV 2019), Sep 2019, Québec, Canada. pp.222-229, ⟨10.1109/3DV.2019.00033⟩. ⟨hal-02266352⟩
  • Yvain Quéau. Variational methods for robust and computationally-efficient 3D-reconstruction. Applied Inverse Problems Conference - Minisymposium Variational methods for inverse problems in imaging, Laurent Condat; Nelly Pustelnik, Jul 2019, Grenoble, France. ⟨hal-03157569⟩
  • Jean Mélou, Yvain Quéau, Fabien Castan, Jean-Denis Durou. Une solution numérique générique pour la reconstruction 3D d'objets non texturés. 17èmes journées francophones des jeunes chercheurs en vision par ordinateur (ORASIS), May 2019, Saint-Dié-des-Vosges, France. ⟨hal-02089438⟩
  • Jean Mélou, Yvain Quéau, Fabien Castan, Jean-Denis Durou. A splitting-based algorithm for multi-view stereopsis of textureless objects. Seventh International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Jun 2019, Hofgeismar, Germany. pp.51-53, ⟨10.1007/978-3-030-22368-7_5⟩. ⟨hal-02088927⟩
  • Paul Chable, Gilles Azzaro, Jean Mélou, Yvain Quéau, Axel Carlier, et al.. Macrogroove: A Sound 3D-sculpture Interactive Player. ACM International Conference on Multimedia (MM '19), Oct 2019, Nice, France. pp.1153-1154, ⟨10.1145/3343031.3355709⟩. ⟨hal-02267053v2⟩
  • Yvain Quéau, Florian Leporcq, Alexis Lechervy, Ayman Alfalou. Learning to classify materials using Mueller imaging polarimetry. Fourteenth International Conference on Quality Control by Artificial Vision (QCAV), May 2019, Mulhouse, France. pp.111720Z, ⟨10.1117/12.2516351⟩. ⟨hal-02088951v2⟩
  • Bjoern Haefner, Yvain Quéau, Thomas Moellenhoff, Daniel Cremers. Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2018, Salt Lake City, United States. pp.164-174, ⟨10.1109/CVPR.2018.00025⟩. ⟨hal-02118545⟩
  • Songyou Peng, Bjoern Haefner, Yvain Quéau, Daniel Cremers. Depth Super-Resolution Meets Uncalibrated Photometric Stereo. 2017 IEEE International Conference on Computer Vision Workshop (ICCVW), Oct 2017, Venice, Italy. pp.2961-2968, ⟨10.1109/ICCVW.2017.349⟩. ⟨hal-02118570⟩
  • Yvain Quéau, Tao Wu, Jean-Denis Durou, François Lauze, Daniel Cremers. A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jul 2017, Honolulu, United States. pp. 99-108, ⟨10.1109/CVPR.2017.45⟩. ⟨hal-01809278⟩
  • Yvain Quéau, Matthieu Pizenberg, Daniel Cremers, Jean-Denis Durou. Stéréophotométrie microscopique sans démosaïquage. 26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp. 1-4. ⟨hal-01913980⟩
  • Yvain Quéau, Tao Wu, Daniel Cremers. Semi-Calibrated Near-Light Photometric Stereo. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Jun 2017, Kolding, Denmark. ⟨hal-01500216⟩
  • Yvain Quéau, Matthieu Pizenberg, Jean-Denis Durou, Daniel Cremers. Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing. 13th International Conference on Quality Control by Artificial Vision (QCAV 2017), May 2017, Tokyo, Japan. pp. 1, ⟨10.1117/12.2266080⟩. ⟨hal-01712549⟩
  • Jean Mélou, Yvain Quéau, Jean-Denis Durou, Fabien Castan, Daniel Cremers. Estimation de la réflectance à partir de données multi-vues. ORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France. ⟨hal-01866637⟩
  • Jean Mélou, Yvain Quéau, Jean-Denis Durou, Fabien Castan, Daniel Cremers. Beyond Multi-view Stereo: Shading-Reflectance Decomposition. 6th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2017), Jun 2017, Kolding, Denmark. pp. 694-705, ⟨10.1007/978-3-319-58771-4_55⟩. ⟨hal-01787432⟩
  • Yvain Quéau, Jean Mélou, Fabien Castan, Jean-Denis Durou, Daniel Cremers. A Variational Approach to Shape-from-shading Under Natural Illumination. 11th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2017), Oct 2017, Venice, Italy. pp.342-357, ⟨10.1007/978-3-319-78199-0_23⟩. ⟨hal-02118556⟩
  • François Lauze, Yvain Quéau, Esben Plenge. Simultaneous Reconstruction and Segmentation of CT Scans with Shadowed Data. Sixth International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Jun 2017, Kolding, Denmark. pp.308-319, ⟨10.1007/978-3-319-58771-4_25⟩. ⟨hal-02118564⟩
  • Roberto Mecca, Yvain Quéau. Unifying Diffuse and Specular Reflections for the Photometric Stereo Problem. IEEE Winter Conference on Applications of Computer Vision (WACV 2016), Mar 2016, Lake Placid, NY, United States. pp. 1-9. ⟨hal-01531190⟩
  • Fotios Logothetis, Roberto Mecca, Yvain Quéau, Roberto Cipolla. Near-Field Photometric Stereo in Ambient Light. 27th British Machine Vision Conference (BMVC 2016), Sep 2016, York, United Kingdom. pp. 1-12. ⟨hal-01436196⟩
  • Yvain Quéau, Roberto Mecca, Jean-Denis Durou. Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2016), Jun 2016, Las Vegas, NV, United States. pp. 4359-4368. ⟨hal-01534802⟩
  • Laurent Hoeltgen, Yvain Quéau, Michael Breuss, Georg Radow. Optimised photometric stereo via non-convex variational minimisation. 27th British Machine Vision Conference (BMVC 2016), Sep 2016, York, United Kingdom. pp. 1. ⟨hal-01445135⟩
  • Michael Breuss, Yvain Quéau, Martin Bähr, Jean-Denis Durou. Highly Efficient Surface Normal Integration. Conference Algoritmy 2016 (ALGORITMY 2016), Mar 2016, Podbanskè, Slovakia. pp. 204-213. ⟨hal-01535947⟩
  • Bastien Durix, Yvain Quéau, Tom Lucas, Jade Boumaza, Jean-Denis Durou, et al.. Étalonnage de sources lumineuses de type LED. Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA 2016), Jun 2016, Clermont-Ferrand, France. pp. 1-8. ⟨hal-01523662⟩
  • Yvain Quéau, Bastien Durix, Tom Lucas, Jade Boumaza, Jean-Denis Durou, et al.. Fusion de données RVB-D par stéréophotométrie colorée. Reconnaissance de formes et intelligence artificielle (RFIA 2016), Jun 2016, Clermont-Ferrand, France. ⟨hal-02119079⟩
  • Yvain Quéau, Jean-Denis Durou. Edge-Preserving Integration of a Normal Field: Weighted Least Squares and L1 Approaches. 5th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015), May 2015, Lège Cap Ferret, France. pp. 576-588. ⟨hal-01360871⟩
  • Yvain Quéau, François Lauze, Jean-Denis Durou. A L1-TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings. 5th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015), May 2015, Lège Cap Ferret, France. pp. 498-510. ⟨hal-01360870⟩
  • Yvain Quéau, Jean-Denis Durou. Some Illumination Models for Industrial Applications of Photometric Stereo. The International Conference on Quality Control by Artificial Vision 2015, Jun 2015, Le Creusot, France. pp.95341C, ⟨10.1117/12.2182921⟩. ⟨hal-02118579⟩
  • Yvain Quéau, Jean-Denis Durou, Xavier Descombes. Que peut-on apprendre d'une scène vue par une webcam à partir d'images prises au cours d'une journée ensoleillée ?. Journées francophones des jeunes chercheurs en vision par ordinateur, Jun 2015, Amiens, France. pp.8. ⟨hal-01161843⟩
  • Yvain Quéau, Richard Modrzejewski, Pierre Gurdjos, Jean-Denis Durou. Transformation d'un dispositif multimédia webcam-écran en un scanner 3D. COmpression et REprésentation des Signaux Audiovisuels (CORESA), Nov 2014, Reims, France. pp.0. ⟨hal-01120851⟩
  • Yvain Quéau, Jean-Denis Durou. Intégration d'un champ de gradient rapide et robuste aux discontinuités - Application à la stéréophotométrie. Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle - RFIA 2014, Jun 2014, Rouen, France. pp.0. ⟨hal-01120129⟩
  • Yvain Quéau, Jean-Denis Durou. Intégration d'un champ de gradient rapide et robuste aux discontinuités Application à la stéréophotométrie. Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, Rouen, France. ⟨hal-00989064⟩
  • Yvain Quéau, François Lauze, Jean-Denis Durou. Solving the Uncalibrated Photometric Stereo Problem using Total Variation. International Conference on Scale Space and Variational Methods in Computer Vision - SSVM 2013, Jun 2013, Schloss Seggau, Austria. pp. 270-281. ⟨hal-01143231⟩
  • Yvain Queau, Jean-Denis Durou. Résolution du problème de la stéréophotométrie non calibrée par estimation de l'intensité des éclairages. Orasis, Congrès des jeunes chercheurs en vision par ordinateur, Jun 2013, Cluny, France. ⟨hal-00829380⟩
  • Bastien Durix, Yvain Quéau, Vincent Charvillat, Jean-Denis Durou. Quels prétraitements pour la stéréophotométrie non calibrée ?. 14èmes Journées francophones des jeunes chercheurs en vision par ordinateur (ORASIS 2013), Laboratoire Electronique, informatique et image (LE2I) - Université de Bourgogne, CNRS, Arts et Métiers Paris Tech., Jun 2013, Cluny, France. pp.1-8. ⟨hal-01152650⟩
  • Jean-Denis Durou, Yvain Queau, Vincent Charvillat. Résolution de la stéréophotométrie par apprentissage. RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3. ⟨hal-00656548⟩

Theses1 document

  • Yvain Quéau. Reconstruction tridimensionnelle par stéréophotométrie. Vision par ordinateur et reconnaissance de formes [cs.CV]. Institut National Polytechnique de Toulouse, 2015. Français. ⟨tel-01261526⟩

Books1 document

  • Jean-Denis Durou, Maurizio Falcone, Yvain Quéau, Silvia Tozza. Advances in Photometric 3D-Reconstruction. Springer International Publishing, 2020, Advances in Computer Vision and Pattern Recognition, ⟨10.1007/978-3-030-51866-0⟩. ⟨hal-02941602⟩

Book sections2 documents

  • Jean-Denis Durou, Maurizio Falcone, Yvain Quéau, Silvia Tozza. A Comprehensive Introduction to Photometric 3D-reconstruction. Durou, Jean-Denis; Falcone, Maurizio; Queau, Yvain; Tozza, Silvia. Advances in Photometric 3D-Reconstruction, Springer International Publishing, pp.1--29, 2020, Advances in Computer Vision and Pattern Recognition, ⟨10.1007/978-3-030-51866-0_1⟩. ⟨hal-02547952⟩
  • Mohammed Brahimi, Yvain Quéau, Bjoern Haefner, Daniel Cremers. On the well-posedness of uncalibrated photometric stereo under general lighting. Durou, Jean-Denis; Falcone, Maurizio; Queau, Yvain; Tozza, Silvia. Advances in Photometric 3D-Reconstruction, Springer International Publishing, pp.147--176, 2020, Advances in Computer Vision and Pattern Recognition, ⟨10.1007/978-3-030-51866-0_5⟩. ⟨hal-02297643v2⟩

Directions of work or proceedings1 document

  • Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon. Scale Space and Variational Methods in Computer Vision: 8th International Conference, SSVM 2021, Virtual Event, May 16–20, 2021, Proceedings. 8th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021), May 2021, Online event, 12679, Springer, Cham, 2021, Lecture Notes in Computer Sciences, 978-3-030-75548-5. ⟨10.1007/978-3-030-75549-2⟩. ⟨hal-03211979⟩

Patents2 documents

  • Bjoern Haefner, Yvain Quéau, Thomas Moellenhoff, Daniel Cremers. Depth super-resolution from shading. Germany, Patent n° : EP3567549. 2019. ⟨hal-02368631⟩
  • Bjoern Haefner, Yvain Quéau, Thomas Moellenhoff, Daniel Cremers. Depth super-resolution from shading. United States, Patent n° : 20190340729. 2019. ⟨hal-02378492⟩

Preprints, Working Papers, ...5 documents

  • Hamza Ennaji, Yvain Quéau, Abderrahim Elmoataz. A PRIMAL-DUAL ALGORITHM FOR COMPUTING FINSLER DISTANCES AND APPLICATIONS. 2022. ⟨hal-03620343⟩
  • Matthieu Pizenberg, Abderrahim Elmoataz, Yvain Quéau. Image Processing for Cultural Heritage Accessibility: Digitizing the Bayeux Tapestry. 2022. ⟨hal-03684035⟩
  • Yvain Quéau, Bastien Durix, Tao Wu, Daniel Cremers, François Lauze, et al.. LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution. 2017. ⟨hal-01399607v3⟩
  • Yvain Quéau, Jean-Denis Durou, Jean-François Aujol. Normal Integration: A Survey. 2016. ⟨hal-01334349v4⟩
  • Yvain Quéau, Jean-Denis Durou, Jean-François Aujol. Variational Methods for Normal Integration. 2016. ⟨hal-01334351v3⟩