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Dipl.-Ing. Martin Weinmann

Stipendiat
Raum: 114 (Geb. 20.52)
Tel.: +49 721 608 47302
Fax: +49 721 608 48450
martin weinmannDwz8∂kit edu

Projects / Projekte

Interests / Interessen

Publications / Publikationen

Memberships / Mitgliedschaften

Reviewer Activity / Gutachtertätigkeit

Lectures / Lehrveranstaltungen

 

Projects / Projekte

  • 01/2011 - 07/2013 (HGF - Weinmann, Ma., Wursthorn, S., Jutzi, B.) 3D Image Sequence Analysis

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Interests / Interessen

  • Computer Vision
  • Pattern Recognition
  • Active Sensors
  • Image & Point Cloud Processing
  • Scene Analysis / Scene Interpretation

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Publications / Publikationen

  (fett/bold: Peer-reviewed Papers)

2013  
 [13] Weinmann, Ma. (2013): Visual Features - From Early Concepts to Modern Computer Vision. In: Farinella, G.M.; Battiato, S.; Cipolla, R. (Eds.), Advanced Topics in Computer Vision. Advances in Computer Vision and Pattern Recognition, Springer, London, pp. 1-34. (Link)
[12]
Weinmann, Ma.; Jutzi, B.; Mallet, C. (2013): Feature relevance assessment for the semantic interpretation of 3D point cloud data. In: Scaioni, M.; Lindenbergh, R. C.; Oude Elberink, S.; Schneider, D.; Pirotti, F. (Eds.), ISPRS Workshop Laser Scanning 2013. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. II-5/W2, pp. 313-318. (pdf)
[11]
Jutzi, B.; Weinmann, Ma.; Meidow, J. (2013): Improved UAV-borne 3D mapping by fusing optical and laserscanner data. In: Grenzdörffer, G.; Bill, R. (Eds.), UAV-g2013. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XL, Part I/W2, pp. 223-228. (pdf)
[10]
Weinmann, Ma.; Dittrich, A.; Hinz, S.; Jutzi, B. (2013): Automatic feature-based point cloud registration for a moving sensor platform. In: Heipke, C.; Jacobsen, K.; Rottensteiner, F.; Sörgel, U. (Eds.), ISPRS Hannover Workshop 2013: High-Resolution Earth Imaging for Geospatial Information. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 40 (Part 1 / W1), pp. 373-378. (pdf)
[9]
Hoegner, L.; Weinmann, Ma.; Jutzi, B.; Hinz, S.; Stilla, U. (2013): Synchrone Koregistrierung von 3d Punktwolken und thermischen Infrarotbildern. In: Luhmann, T.; Müller, C. (Eds.), Photogrammmetrie - Laserscanning - Optische 3D-Messtechnik: Beiträge der 12. Oldenburger 3D-Tage 2013. Wichmann Verlag, Heidelberg.
[8]
Hoegner, L.; Weinmann, Ma.; Jutzi, B.; Hinz, S.; Stilla, U. (2013): Co-registration of time-of-flight (TOF) camera generated 3d point clouds and thermal infrared images (IR). In: Seyfert, E. (Ed.), Tagungsband der 33. Wissenschaftlich-Technischen Jahrestagung der DGPF, Band 22, pp. 481-488.
[7]
Weinmann, Ma.; Jutzi, B. (2013): Fast and accurate point cloud registration by exploiting inverse cumulative histograms (ICHs). Proceedings of the Joint Urban Remote Sensing Event (JURSE), pp. 218-221. (Link)
   
2012
 
[6] Weinmann, Ma.; Hoegner, L.; Leitloff, J.; Stilla, U.; Hinz, S.; Jutzi, B. (2012): Fusing passive and active sensed images to gain infrared-textured 3D models. In: Shortis, M.; El-Sheimy, N. (Eds.), XXII ISPRS Congress, TC I. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 39 (Part B1), pp. 71-76. (pdf)
[5] Weinmann, Ma.; Jutzi, B. (2012): A step towards dynamic scene analysis with active multi-view range imaging systems. In: Shortis, M.; Paparoditis, N.; Mallet, C. (Eds.), XXII ISPRS Congress, TC III. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 39 (Part B3), pp. 433-438. (pdf)
2011
 
[4] Weinmann, Ma.; Wursthorn, S.; Jutzi, B. (2011): Semi-automatic image-based fusion of range imaging data with different characteristics. In: Stilla, U.; Rottensteiner, F.: Mayer, H.; Jutzi, B.; Butenuth, M. (Eds.), Photogrammetric Image Analysis (PIA) 2011. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 38 (Part 3 / W22), pp. 119-124. (pdf)
[3] Hinz, S.; Weinmann, Ma.; Runge, P.; Jutzi, B. (2011): Potentials of image based active ranging to capture dynamic scenes. In: Heipke, C.; Jacobsen, K.; Rottensteiner, F.; Müller, S.; Sörgel, U. (Eds.), High-Resolution Earth Imaging for Geospatial Information. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 38 (Part 4 / W19), pp. 143-147. (pdf)
[2] Weinmann, Ma.; Jutzi, B. (2011): Fully automatic image-based registration of unorganized TLS data. In: Lichti, D. D.; Habib, A. F. (Eds.), Laser Scanning 2011. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 38 (Part 5 / W12), pp. 55-60. (pdf)
[1] Weinmann, Ma.; Weinmann, Mi.; Hinz, S.; Jutzi, B. (2011): Fast and automatic image-based registration of TLS data. In: Bretar, F.; Wagner, W.; Paparoditis, N. (Eds.), Advances in LIDAR Data Processing and Applications. ISPRS Journal of Photogrammetry and Remote Sensing, Volume 66, Issue 6, Supplement, pp. S62-S70. (link)

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Memberships / Mitgliedschaften

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

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Reviewer Activity / Gutachtertätigkeit

  • Photogrammetric Engineering & Remote Sensing (PE&RS)
    Journal of the American Society for Photogrammetry and Remote Sensing (ASPRS)
  • Measurement
    Journal of the International Measurement Confederation (IMEKO)
  • Photogrammetrie - Fernerkundung - Geoinformation (PFG)
    Journal of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF)
  • The XXII Congress of the International Society for Photogrammetry and Remote Sensing
    Conference of the International Society for Photogrammetry and Remote Sensing (ISPRS)
  • ISPRS Journal of Photogrammetry and Remote Sensing
    Journal of the International Society for Photogrammetry and Remote Sensing (ISPRS)
  • IEEE Transactions on Geoscience and Remote Sensing (TGARS)
    Journal of the IEEE Geoscience and Remote Sensing Society

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Lectures / Lehrveranstaltungen

  • 3D Computer Vision (3DCV)

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