StefanHinterstoisser

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Contact

Dipl.-Inf. Univ. Stefan Hinterstoißer
email
phone +49 (89) 289-19400
fax +49 (89) 289-17059
room 03.13.042
address Institut für Informatik I-16
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München
Germany
skype My status
HinterstoisserStefanicon2.JPG

Research

Miscellaneous

Reviewer for: PAMI, T-RO, VCG, CVPR, ECCV, ICPR, ISMAR, ICCV, BMVC

Supported by the BMBF project AVILUSplus (01IM08002) until 28.02.2011.

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Teaching Assistance

Student Projects

Available

There are a couple of projects available. If you are interested just drop by. You need good knowledge of C/C++ and Computer Vision.

Finished

  • Stefan Holzer: Distance Transform Templates for Object Detection and Pose Estimation (Master Thesis)
  • Nicolas Alt: Optimal Template Selection for Visual Tracking (Master Thesis)
  • Ya Chen: Evaluation of Real-Time Object Detection and Tracking Method for Defining an Optimal Performance Algorithm (Master Thesis)

News

  • [03.04.2012] LINE-MOD code is finally available. Just check out the latest opencv version via svn!
  • [21.09.2011] We got our TPAMI paper accepted!
  • [27.06.2011] We got our ICCV paper about our new method LINEMOD accepted as Oral Presentation. It is about combining 2D color gradients with 3D surface normals (from the Kinect depth map) for robust detection of texture-less Objects under heavily cluttered background. As usual we will release source code (however that might still take some time - stay tuned!!!). This approach is much better than DOT (much more robust, much less false positives, runtime independent of template size etc.)! See the paper and the videos!
  • [16.02.2011] Wonwoo ported our DOT software to Mac OS. Please refer to his blog for further information.
  • [06.12.2010] Steve made our DOT software running under Linux. Please refer to his blog for further information.
  • [19.08.2010] Our paper on "Learning Real-Time Perspective Patch Rectification" has been accepted for publication in International Journal of Computer Vision (IJCV).

Software

LINE-MOD code is finally available (however in beta release only). Please note that the code does not have the same gradient online learning method as we used in ICCV11! The current gradient method selects gradients on the silhouette only and is made for artificial 3D objects! The version we used at ICCV11 selects strong gradients anywhere on the object. For the linemod code just check out the latest opencv version via svn! Apart from it - we changed the licensing for the current software packages from GPL to LGPL! We have not updated the source files correspondingly but will do it somewhen!

All software (LGPL licensed) can be found HERE.

Publications

Journal Articles

2011
S. Hinterstoisser, C. Cagniart, S. Ilic, P. Sturm, N. Navab, P. Fua, V. Lepetit
Gradient Response Maps for Real-Time Detection of Texture-Less Objects
IEEE Transactions on Pattern Analysis and Maschine Intelligence (TPAMI). (bib)
S. Hinterstoisser, V. Lepetit, S. Benhimane, P. Fua, N. Navab
Learning Real-Time Perspective Patch Rectification
International Journal of Computer Vision (IJCV), Springer Verlag, The final publication is available at www.springerlink.com (bib)

International Conferences

2011
S. Hinterstoisser, S. Holzer , C. Cagniart, S. Ilic, K. Konolige, N. Navab, V. Lepetit
Multimodal Templates for Real-Time Detection of Texture-less Objects in Heavily Cluttered Scenes (Oral)
IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, November 2011. (bib)
2010
N. Alt, S. Hinterstoisser, N. Navab
Rapid Selection of Reliable Templates for Visual Tracking
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, California (USA), June 2010. (bib)
S. Hinterstoisser, V. Lepetit, S. Ilic, P. Fua, N. Navab
Dominant Orientation Templates for Real-Time Detection of Texture-Less Objects
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, California (USA), June 2010. (bib)
2009
S. Hinterstoisser, O. Kutter, N. Navab, P. Fua, V. Lepetit
Real-Time Learning of Accurate Patch Rectification (Oral Presentation)
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida (USA), June 2009. (bib)
S. Holzer , S. Hinterstoisser, S. Ilic, N. Navab
Distance Transform Templates for Object Detection and Pose Estimation
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida (USA), June 2009. (bib)
2008
S. Hinterstoisser, S. Benhimane, V. Lepetit, P. Fua, N. Navab
Simultaneous Recognition and Homography Extraction of Local Patches with a Simple Linear Classifier
British Machine Vision Conference (BMVC), Leeds (UK), September 1-4, 2008 (bib)
S. Hinterstoisser, S. Benhimane, N. Navab, P. Fua, V. Lepetit
Online Learning of Patch Perspective Rectification for Efficient Object Detection
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska (USA), June 2008. (bib)
2007
P. Georgel, P. Schroeder, S. Benhimane, S. Hinterstoisser, M. Appel, N. Navab
An Industrial Augmented Reality Solution For Discrepancy Check
Proceedings of the 6th International Symposium on Mixed and Augmented Reality (ISMAR), Nara, Japan, Nov. 2007 (bib)
S. Hinterstoisser, S. Benhimane, N. Navab
N3M: Natural 3D Markers for Real-Time Object Detection and Pose Estimation
IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil, October 14-20, 2007 (bib)

Awards

Pose Estimation / Matching

LINE-MOD (ICCV11)

linemod1.jpg linemod2.jpg

Dominant Orientation Templates (CVPR10)

dot1.jpg dot2.jpg

Distance Transform Templates (CVPR09)

dtt1.jpg dtt2.jpg

Gepard (CVPR09)

gepard1.png gepard2.png

Panter (BMVC08)

panter1.png panter2.png

Leopar (CVPR08)

leopar1.jpg leopar2.jpg

N3Ms (ICCV07)

N3M.jpg N3M1.jpg

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Title: Dipl.-Inf. Univ.
Firstname: Stefan
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Lastname: Hinterstoisser
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Groups: Computer Vision
Expertise: Computer Vision
Position: Scientific Staff
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Room: MI 03.13.042
Telephone: +49 89 289 19400
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