Martin Weinmann (Dr)

Au laboratoire MATIS de 2016 à 2016
Chercheur associé

Contact : martin.weinmann(at)ign.fr



Post-doctorant



Sujet de recherche au laboratoire MATIS

  • Feature extraction
  • Classification and segmentation of LiDAR data
  • Tree detection, segmentation and localization

Personal webpage

Formation

  • 2003-2009: Academic studies in Electrical Engineering and Information Technology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany



Parcours professionnel

  • December 2009 - February 2010: Research Assistant, Institute of Systems Optimization, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • May 2010 - December 2010: Research Assistant, Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • January 2011 - July 2015: PhD student, Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • July 2015 - December 2015: Research Assistant, Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
    Web page and publications at KIT



Compétences

Computer Vision - Pattern Recognition, Active 3D Vision - Image and Point Cloud Processing -
Feature Extraction - Feature Selection - Classification - Scene Analysis



Associations scientifiques et techniques

  • DGPF (German Society for Photogrammetry, Remote Sensing and Geoinformation)
  • IEEE (Institute of Electrical and Electronics Engineers)
  • IEEE Computer Society
  • IEEE Robotics and Automation Society

  • Member of program committees :
    • The XXII Congress of the International Society for Photogrammetry and Remote Sensing, 25 August - 1 September 2012, Melbourne, Australia
    • ISPRS Workshop Laser Scanning 2013, 11-13 November 2013, Antalya, Turkey
    • IEEE/ISPRS Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding, 28 June 2014, Columbus, USA
    • International Workshop on Pattern Recognition in Remote Sensing, 24 August 2014, Stockholm, Sweden
    • British Machine Vision Conference 2014, 1-5 September 2014, Nottingham, UK
    • IEEE/ISPRS 2nd Joint Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding, 11 June 2015, Boston, USA
    • British Machine Vision Conference 2015, 7-10 September 2015, Swansea, UK ISPRS Workshop Laser Scanning 2015, 28-30 September, La Grande Motte, France
    • ISPRS Workshop Image Sequence Analysis for Object and Change Detection, 1 October 2015, La Grande Motte, France
    • ISPRS Workshop Object Extraction for 3D City Models, Road Databases and Traffic Monitoring - Concepts, Algorithms, and Evaluation, 1-2 October 2015, La Grande Motte, France
    • IEEE/ISPRS 3rd Joint Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding, 12 December 2015, Santiago, Chile
    • The XXIII Congress of the International Society for Photogrammetry and Remote Sensing, 12-19 July 2016, Prague, Czech Republic

  • Journal reviewer :
    • ISPRS Journal of Photogrammetry and Remote Sensing
    • IEEE Transactions on Geoscience and Remote Sensing
    • Computer Vision and Image Understanding
    • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • Sensors
    • IEEE Transactions on Computational Imaging
    • SpringerPlus
    • Measurement
    • Automation in Construction
    • Photogrammetric Engineering & Remote Sensing
    • Photogrammetrie - Fernerkundung - Geoinformation
    • International Journal of Remote Sensing
    • European Journal of Remote Sensing
    • International Journal of Physical Sciences
    • Technical Sciences



Publications

Livres

M. Weinmann. Reconstruction and analysis of 3D scenes: from irregularly distributed 3D points to object classes. Springer, A paraître.

Articles de revues avec comité de lecture

M. Weinmann, M. Weinmann, C. Mallet, M. Brédif. A classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas. Remote Sensing, vol. 9(3), 277, 2017.

L. Landrieu, H. Raguet, B. Vallet, C. Mallet, M. Weinmann. A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 132, pp.102-118, 2017.

M. Weinmann, B. Jutzi, S. Hinz, C. Mallet. Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers. ISPRS Journal of Photogrammetry and Remote Sensing 105, pp. 286-304, 2015.

M. Weinmann, S. Urban, S. Hinz, B. Jutzi, C. Mallet. Distinctive 2D and 3D Features for Automated Large-Scale Scene Analysis in Urban Areas. Computer & Graphics 49, pp.47–57, 2015.

M. Weinmann, C. Mallet, B. Jutzi, S. Hinz. Efficient interpretation of 3D point clouds by assessing feature relevance. Allgemeine Vermessungs-Nachrichten (AVN), 10/2015, pp.308-315, 2015.

Articles de conférences avec comité de lecture

L. Landrieu, C. Mallet, M. Weinmann. Comparison of belief propagation and graph-cut approaches for contextual classification of 3D LIDAR point cloud data. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, USA, July 2017.

M. Weinmann, B. Jutzi, C. Mallet, M. Weinmann. Geometric features and their relevance for 3D point cloud classification. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017.

M. Weinmann, C. Mallet, M. Brédif. Detection, Segmentation and Localization of Individual Trees from MMS Point Cloud Data. GEOBIA 2016, Best Paper Award, Enschede, The Netherlands, 14-16 September 2016.

M. Weinmann, A. Schmidt, C. Mallet, S. Hinz, F. Rottensteiner, B. Jutzi. Contextual classification of point cloud data by exploiting individual 3D neighborhoods. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, PIA'15, Munich, Germany, 2015.

M. Weinmann, B. Jutzi, C. Mallet. Semantic 3D scene interpretation: a framework combining optimal neighborhood size selection with relevant features. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-3, Zürich, Switzerland, September 2014.

M. Weinmann, B. Jutzi, C. Mallet. Feature relevance assessment for the semantic interpretation of 3D point cloud data. ISPRS Annals of Photogrammetry, Remote Sensing and the Spatial Information Sciences, Antalya, Turkey, November 2013.

Articles de conférences sans comité de lecture

M. Weinmann, C. Mallet, B. Jutzi. Involving different neighborhood types for the analysis of low-level geometric 2D and 3D features and their relevance for point cloud classification. Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (37. Wissenschaftlich-Technische Jahrestagung der DGPF), n°26, Würzburg (Germany), March 2017.

M. Weinmann, C. Mallet, M. Brédif. Segmentation and Localization of Individual Trees from MMS Point Cloud Data Acquired in Urban Areas. in Publikationen der DGPF, Bern, 2016.

M. Weinmann, B. Jutzi, C. Mallet. Describing Paris: Automated 3D Scene Analysis via Distinctive Low-Level Geometric Features. IQmulus Workshop on Processing Large Geospatial Data, in conjunction with SGP’14, Cardiff, UK, July 2014.

M. Weinmann, B. Jutzi, C. Mallet. 3D Scene Analysis Based on Optimal Neighborhoods and Relevant Features. International Computer Vision Summer School, Catania, Sicily, July 2014.



Site internet de la recherche à l'IGN