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Dr. Ir Charles BEUMIER

Researcher

charles.beumier@elec.rma.ac.be     +32-2-44-14200     Academic details

Research projects

DAP-16-9

The Confident project, conducted in the Improvised Explosive Devices Detection programm of the European Defence Agency, consists in providing IED early warning for convoys.

The Royal Military Academy is in charge of the processing and data fusion of the infrared images with the image coming from the other detectors.

DAP-16-8

The aim of the study is to develop (semi-)automatic image analysis methods in order to help vectorize topo-geographic objects from satellite imagery and to integrate these in the Geographic service of the Defense in charge of the MGCP project.

SIC/05

The study aims first at automatically extract Digital Surface Models using very high spatial and radiometric resolution images and multiview modes. Second, these DSM will be exploited to perform change detection and produce landscape models.

MYRIADE

The aim of this project is to develop, test and validate a library allowing to determine the speed of cars passing by from time-lapse images.

ARMURS

Description: Topographical data producers are currently confronted the need of a faster updating method. Although state-of-the-art techniques exist, no automated tool predicts and locates changes.

The general objective of the project is to capitalize partners\' knowledge in the development of a demonstrator to assist data producers in updating more efficiently their topographic database by using state-of-the-art image processing and statistical analysis techniques. Data will include remote sensing images, together with socio-economical data.

To achieve this general objective, two main axes are distinguished:

- At a regional scale, the objective is to analyze topographical dabases from multiple sources such as satellite images, demographic database, or economic database in order to predict information about the localization of changes in man-made structures (such as houses, roads, etc.).

- At a local scale, for areas of predicted changes the older databases will be compared w

OCTOPUS

The method developed for NGI by SIC in the scope of the ETATS project (STEREO SR/00/21) to detect changes in buildings and roadnetwork from SPOT5 images and the Top10v-GIS topographic data base (conceptually at 1:10 000) of NGI, has produced good results on a set of zones, but could not be validated sufficiently in the foreseen time frame during the ETATS project. Moreover, taking into account the tests realized and in order to make the application more flexible, NGI prefers a modular version of the realized software under the form of successions of scripts instead of a global graphical interface. Finally, the NGI wish that the method could accept as input other types of images than SPOT5 images, as aerial photos, orthophotos and mosaics.

At the end of this project, the NGI will have a versatile and adapted prototype to help the updating of topogeographical data.

GMOSS

The aim of the GMOSS network of excellence is to integrate Europe?s civil security research so as to acquire and nourish the autonomous knowledge and expertise base Europe needs if it is to develop and maintain an effective capacity for global monitoring using satellite earth observation.

GEMITOR

The objective of the GEMITOR project is to generate a Numerical Surface Model (NSM) with a resolution that is as high as possible. This NSM would then serve as input for the EMSOR project to which the GEMITOR project is linked.

Generating NSM from SAR interferometrie has proved to be challenging at very high resolution. In particular, the phase unwrapping operation has to be re-examined, for instance by adopting a multiresolution approach.

EMSOR

EMSOR vise 2 applications complémentaires de la détection de structures humaines, à savoir : la mise à jour de données cartographiques en routine et la mise à jour de cartes en temps de crise avec évaluation des dégâts survenus.

EMSOR va intégrer voire développer les méthodes nécessaires à l’analyse des données SAR pour les applications en sécurité (résolution 1m), à l’analyse des données optiques (résolution 1m) et à la fusion de données SAR et optiques.

EMSOR, est intégré dans un réseau destiné à faciliter l’échange d’expertise, de données et la comparaison de résultats.

Publications

  1. C Beumier and M Idrissa. Digital terrain models derived from digital surface model uniform regions in urban areas. International Journal of Remote Sensing, 37(15):3477-3493, 2016.
  2. Mahamadou Idrissa and Charles Beumier. Generic epipolar resampling method for perspective frame camera and linear push-broom sensor. International Journal of Remote Sensing, 37(15):3494-3504, 2016.
  3. C Beumier and M Idrissa. Deriving a DTM from a DSM by Uniform Regions and Context. EARSeL eProceedings, 14(1):16-24, 2015.
  4. C Beumier and M Idrissa. Building detection with multi-view colour infrared imagery. EARSeL eProceedings, 13(2):77-84, 2014.
  5. C Beumier and M Idrissa. Extraction de MNS et Application à la Détection de Changement du Bâti. In Traitement et Analyse de l'Information Méthodes et Applications - TAIMA 2013, Hammamet, Tunisia, 2013.
  6. B Mertens, B De Leener, C Beumier, O Debeir, P Lambert, and A Delchambre. Robust Structured Light Pattern for Use witha Spatial Light Modulator in 3D Endoscopy. Int. Journal of Optomechatronics, 7:105-121, 2013.
  7. C Beumier. Speed Estimation Thanks to Two Images from One Stationary Camera. In Iberoamerican Congress on Pattern Recognition - CIARP 2012, Buenos Aires, Argentina, 2012.
  8. C Beumier. Vehicle Speed Estimation from Two Images for LIDAR Second Assessment. In Int. Conf. on Computer Vision Theory and Applications - VISAPP12, Roma,Italy, 2012.
  9. C. Beumier and M. Idrissa. Building Change Detection from Uniform Regions. In beroamerican Congress on Pattern Recognition (CIARP 2012), 2012.
  10. C Beumier and M Idrissa. Building Change Detection from Uniform Regions. In Iberoamerican Congress on Pattern Recognition - CIARP 2012, Buenos Aires, Argentina, 2012.
  11. B Mertens, B De Leener, C Beumier, O Debeir, P Lambert, and A Delchambre. Robust Structured Light Pattern for Use with a Hologram in 3D Endoscopy. In Int. Symposium on OptoMechatronic Technologies - ISOT'12, Paris, France, 2012.
  12. C Beumier and M Idrissa. Building Change Detection by Histogram Classification. In Int. Conf. on Signal-Image Technology and Internet-based Systems - SITIS 2011, Dijon, France, 2011.
  13. C Beumier and M Idrissa. Quantitative analysis of 3D reconstruction error in the context of computational stereo in remote sensing. In GEOBIA 2010 Conference on Geographic Object-Based Image Analysis, Ghent, June 2010, June 2010.
  14. C Beumier and M Idrissa. Quantitative analysis of 3D reconstruction error in the context of computational stereo in remote sensing. In Geographic Object-Based Image Analysis - GEOBIA 2010, Ghent, Belgium, 2010.
  15. C Leignel, O Debeir, E Hanson, T Leloup, C Simler, C Beumier, G Bontempi, N Warzee, and E Wolff. Detecting man-made structure changes to assist geographic data producers in planning their update strategy. In ISPRS joint workshop on 'Core Spatial Database - Updating, Maintainance and Services', Haifa, Israel, 2010.
  16. C Simler and C Beumier. Building and Road Extraction on Urban VHR Images using SVM Combinations and Mean Shift Segmentation. In Proceeding of the Int. Conf. On Computer Vision Theory and Applications - VISAPP 2010, Anger, France, 2010.
  17. C Simler and C Beumier. Performance Evaluation of a Road and Building Classifier on VHR Images. In Geographic Object-Based Image Analysis - GEOBIA 2010, Ghent, Belgium, 2010.
  18. C Beumier. Fast Dense Disparity Estimation of Stereo Couples from Image Gradient. In 5th Int. Conf. on Signal-Image Technology and Internet-based Systems - SITIS09, Marrakech, Morocco, November 2009.
  19. C Simler, C Beumier, C Leignel, O Debeir, and E Wolff. The use of ORFEO Toolbox in the context of map updating. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS'09, Cape Town, South Africa, 2009.
  20. A Wimmer, I Lingenfelder, C Beumier, J Inglada, and S Caseley. Feature Recognition Techniques, chapter Part III, pages 105-118. Jasani, B and Pesaresi, M and Schneiderbauer, S and Zeug, G, 2009.
  21. E Wolff, O Debeir, E Hanson, C Leignel, C Simler, C Beumier, and N Warzee. Comparaison et évaluation des méthodes de segmentation avec contrainte en vue d'une classification du bâti et des routes. In Proceedings de JIGOT, Toulouse, France, November 2009.
  22. C Beumier. Building detection in Ikonos images from disparity of edges. In Int. Conf. on Computer Vision Theory and Applications, Funchal, Madeira, January 2008.
  23. C Beumier. Building Verification from Disparity of Contour Points. In Image Processing Theory, Tools & Applications, IPTA'08, Sousse, Tunisia, November 2008.
  24. C Beumier. Building detection from disparity of edges. In 27th EARSeL Symposium Geoinformation in Europe, Bolzano, Italy, 2007.
  25. C Beumier. Building verification from geometrical and photometric cues. In Applications of Digital Image Processing XXX, Proceedings of SPIE, volume 6696, San Diego, California, 2007.
  26. C Beumier. Building verification from geometrical features. In 27th EARSeL Symposium Geoinformation in Europe, Bolzano, Italy, 2007.
  27. C Beumier. Industrial area detection during GNEX06. In In JRC Scientific and Technical Reports, GMOSS, G. Zeug & M. Pesaresi Eds., pages PP. 361-364, 2007.
  28. C Beumier. 3D Face Recognition. In IEEE International Conference on Industrial Technology 2006, Mumbai, India, 2006.
  29. C Beumier. Identity Authentication through 3D Face Analysis. In Biometrics Summer School 2006, Alghero, Italy, 2006.
  30. C Beumier. Straight-line Detection Using Moment of inertia. In IEEE International Conference on Industrial Technology 2006, Mumbai, India, 2006.
  31. C Beumier and V Lacroix. Road extraction for EuroSDR contest. In Proceedings of the SPIE, Image and Signal Processing for Remote Sensing XII, volume 6365, Stockholm, Sweden, September 2006.
  32. C Beumier. 3D Face Recognition. In CIHSPS2004, Venice, Italy, 2004.
  33. C Beumier. 3D Facial Surface Capture. In PIERS2004, Nanjing, China, 2004.
  34. C Beumier. Calibration of a Structured Light System for 3D Acquisition. In SPS 2004, Hilvarenbeek, The Netherlands, 2004.
  35. C Beumier. Design of Coded Structured Light Pattern for 3D Facial Surface Capture. In EUSIPCO2004, pages 2291-2294, Vienna, Austria, September 2004.
  36. C Beumier. Facial Surface Acquisition with Colour Striping. In ICANN/ICONIP 2003, pages 548-551, Istanbul, Turkey, 2003.
  37. C Beumier. Person Authentication through 3D Face Analysis. Phd thesis, ENST, Dépt. TSI, Paris, 2003.
  38. S Garcia-Salicetti, C Beumier, G Chollet, B Dorizzi, J Leroux les jardins, Jan Lunter, Yang Ni, and D Petrovska-Delacrétaz. BIOMET: A Multimodal Person Authentication Database Including Face, Voice, Fingerprint, Hand and Signature Modalities. In AVBPA2003, Guildford, UK, 2003.
  39. C Beumier and M Acheroy. Face Verification from 3D and grey-level clues. Pattern Recognition Letters, 22:1321-1329, 2001.
  40. C Beumier and M Acheroy. Automatic 3D Face Authentication. Image and Vision Computing, Special Issue on Facial Image Analysis, 18(4):315-321, March 2000.
  41. C Beumier and M Acheroy. Automatic Face Recognition. In Proceedings symposium IMAGING, pages 77-89, Eindhoven, The Netherlands, 2000.
  42. C Beumier and M Acheroy. Automatic Face Verification from 3D and Grey Level Clues. In 11th Portuguese conference on pattern recognition (RECPAD2000), Porto, Portugal, 2000.
  43. C Beumier, P Druyts, Y Yvinec, and M Acheroy. Motion estimation of a hand-held mine detector. In Signal Processing Symposium, Hilvarenbeek, The Netherlands, March 2000.
  44. C Beumier, P Druyts, Y Yvinec, and M Acheroy. Real-Time Optical Position Monitoring using a Reference Bar. In Signal Processing and Communications (SPC2000), pages 468-473, Marbella, Spain, September 2000.
  45. Charles Beumier, Pascal Druyts, Yann Yvinec, and Marc Acheroy. Motion estimation of a hand-held mine detector. In Signal Processing Symposium, Hilvarenbeek, The Netherlands, March 2000.
  46. Charles Beumier, Pascal Druyts, Yann Yvinec, and Marc Acheroy. Real-time optical position monitoring using a reference bar. In Signal Processing and Communications (SPC2000), pages 468-473, Marbella, Spain, September 2000.
  47. C Beumier and M Acheroy. 3D Facial Surface Acquisition by Structured Light. In International Workshop on Synthetic-Natural Hybrid Coding and Three Dimensional Imaging, ICMCS 1999, pages 103-106, Santorini, Greece, September 1999.
  48. C Beumier and M Acheroy. SIC_DB: Multi-Modal Database for Person Authentication. In Proceedings of the 10th International Conference on Image Analysis and Processing (ICIAP), pages 704-708, Venice, Italy, September 1999.
  49. G. Richard, Y. Mengay, I. Guis, N. Suaudeau, J. Boudy, P. Lockwood, C. Fernandez, F. Fernandez, C. Kotropoulos, A. Tefas, R. Heimgartner, P. Ryser, C. Beumier, P. Verlinde, S. Pigeon, G. Matas, J. Kittler, J. Biglin, Y. Abdeljaoued, E. Meurville, L. Besacier, M. Ansorge, G. Maitre, J. Luettin, S. Ben-Yacoub, B. Ruiz, K. Aldama, and J. Cortes. Multi modal verification for teleservices and security applications (M2VTS). In IEEE International Conference on Multimedia Computing and Systems, volume 2, pages 1061-1064. IEEE Comput. Soc, 1999.
  50. G Richard, Y Menguy, I Guis, N Suaudeau, J Boudy, P Lockwood, C Fernàndez, F Fernàndez, C Kotropoulos, A Tefas, Ioannis Pitas, R Heimgartner, P Ryser, C Beumier, P Verlinde, S Pigeon, G Matas, Josef Kittler, J Bigün, Y Abdeljaoued, E Meurville, L Besacier, M Ansorge, G Maitre, J Luettin, S Ben-Yacoub, B Ruiz, K Aldama, and J Cortes. Multi Modal Verification for Teleservices and Security Applications (M2VTS). In IEEE International Conference on Multimedia Computing and Systems, ICMCS 1999, volume Volume I, pages 1061-1064, Florence, Italy, 1999.
  51. C Beumier and M Acheroy. Automatic 3D Face Authentication. In Workshop on Advances in Facial Image Analysis and Recognition Technology, Post ECCV'98, Freiburg, Germany, 1998.
  52. C Beumier and M Acheroy. Automatic Face Authentication from 3D Surface. In British Machine Vision Conference BMVC98, pages 449-458, University of Southampton, UK, September 1998.
  53. C Beumier and M Acheroy. M2VTS: Final report on the structured light modality. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, 1998.
  54. G Richard, Y Menguy, J Boudy, F Rigoulet, P Lockwood, F Fernàndez, C Kotropoulos, Ioannis Pitas, P Ryser, and C Beumier. The M2VTS project: towards Multi Modal Verification for Teleservices and Security Applications. In Lecture Notes in Computer Science 1425, ECMAST '98, Berlin, Germany, 1998.
  55. C Beumier and M Acheroy. Automatic Face Recognition by 3-D Analysis. In Belgian Operations Research Society (ORBEL11), Namur, Belgium, January 1997.
  56. C Beumier and M Acheroy. Automatic Profile Identification. In FIRST INTERNATIONAL CONFERENCE ON AUDIO AND VIDEO BASED BIOMETRIC PERSON AUTHENTICATION (AVBPA), pages 145-152, Crans-Montana, Switzerland, March 1997.
  57. C Beumier and M Acheroy. M2VTS: algorithm complexity evaluation and selection. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, January 1997.
  58. M Acheroy, C Beumier, J Bigün, G Chollet, B Duc, S Fischer, D Genoud, P Lockwood, G Maitre, S Pigeon, I Pitas, K Sobatta, and L Vandendorpe. Multi-modal person verification tools using speech and images. In Proceedings of the European Conference on Multimedia Applications, Services and Techniques (ECMAST '96), pages 747-761, Louvain-La-Neuve, Belgium, 1996.
  59. C Beumier and M Acheroy. M2VTS: multi-modal basic algorithm components. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, October 1996.
  60. C Beumier and M Acheroy. Reconnaissance automatique de visages. In BIVA VISION'S TODAYS SOLUTION, Dworp, Belgium, 1996.
  61. C Beumier and M Acheroy. Automatic Face Identification. In Applications of Digital Image Processing XVIII, volume 2564, pages 311-323, 1995.
  62. D Villers, C Fougnies, L Paternostre, C Beumier, and M Dosière. The use of an imaging plate as a detecting system in X-ray diffraction of polymers. In Nuclear Instruments and Methods in Physics Research, pages 265-268, 1995.