BenjaminBusam

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

Benjamin Busam

Contact Information

Benni Benjamin Busam, M.Sc.

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching bei München
Room: MI 03.13.009B
Interdisziplinäres Forschungslabor
Klinikum rechts der Isar
Technische Universität München
Ismaninger Str. 22
81675 München
Room: 01.01.03a-c

FRAMOS Imaging
Mehlbeerenstraße 2
82024 Taufkirchen
Phone: +49 89 710 667 243
Email:
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Brief Bio

Benjamin Busam is a PhD candidate with the Computer Vision Group at the Chair for Computer Aided Medical Procedures, TUM and Head of Research at FRAMOS Imaging Systems. He finished his Bachelor of Science in Mathematics at the Technical University of Munich in 2011. In his subsequent postgraduate programme, he studied Mathematics and Physics at ParisTech, France and at the University of Melbourne, Australia, before he graduated with distinction at TU Munich in 2014. In continuation to his Master's thesis on “Projective Geometry and 3D point cloud matching”, he now focuses his research and development on 2D/3D object detection and pose estimation for both outside-in and inside-out tracking. For his work on adaptable high-resolution real-time stereo tracking he received the EMVA Young Professional Award 2015 from the European Machine Vision Association.

Research Interests

  • 2D/3D Object Tracking
  • Inside-Out Tracking
  • Passive Object Detection
  • Stereo Imaging
  • Robust Real-time Point Cloud Matching
  • Machine Learning, Deep Learning and Neural Networks, Reinforcement Learning
  • Projective Geometry and Invariant Theory

Teaching

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Projects

The Imaging Systems department of FRAMOS has dedicated itself entirely to 3D image processing solutions.
There are always available topics for Bachelor's or Master's theses with potential industry support.
FRAMOS is constantly looking for motivated working students, graduates and young professionals. We offer internships in different fields of application in computer vision within the industry.
If you are interested in writing your thesis with FRAMOS or getting some industry experience don't hesitate in contacting me.

Here is a list of current and previous projects:
Semester Type Topic By Material
2018/19 WS Practical Project Observing Environment Statistics - Anomaly Detection Elias Marquart
Tobias Eder
Varnika Tyagi
 
2018/19 WS Practical Project Mobile Indoor Navigation Nour AlOrjany?
Ritvik Ranadive
Stefano Gasperini
 
2018/19 WS Seminar Presentation CodeSLAM? - Learning a Compact, Optimisable Representation for Dense Visual SLAM Hooriya Anam Paper
2018/19 WS Lab Course Spatio-temporal Depth Estimation in Real-Time HyunJun? Jung Project Proposal
KickOff
2018/19 WS MSc Thesis Context aware robust SLAM applications Nitin Deshpande
2018 SS Working Student Depth Accuracy Improvements for Active Stereo Sensing HyunJun? Jung Results
2018 SS Working Student A modular implementation of feature based SLAM Miguel Trasobares Baselga  
2018 SS MSc Thesis Object Pose Estimation with PointNet? Michael Haberl Presentation
Thesis
2018 SS Lab Course Real-time Gaze Estimation Matthieu Hongtao Zhang Project Proposal
Requirement Presentation
Intermediate Presentation
Final Presentation
2018 SS Lab Course Motion Interpolation and Sensor Fusion Antoine Keller
Violeta Sofia Morales
Lennart Bastian
Project Proposal
Poster
Report
Final Presentation

Show previous projects

Awards and Scholarships

Talks and Presentations

Show previous Talks and Presentations

Publications

2018
B. Busam, P. Ruhkamp, S. Virga, B. Lentes, J. Rackerseder, N. Navab, C. Hennersperger
Markerless Inside-Out Tracking for 3D Ultrasound Compounding
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Point-of-Care Ultrasound, Granada, Spain, September 2018 (bib)
T. Birdal, B. Busam, N. Navab, S. Ilic, P. Sturm
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds
IEEE Computer Vision and Pattern Recognition (CVPR), Salt Lake City, United States, June 2018 (bib)
F. Manhardt, D. Arroyo, C. Rupprecht, B. Busam, N. Navab, F. Tombari
Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data
Arxiv preprint 1812.00287 (bib)
2017
B. Busam, T. Birdal, N. Navab
Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions
International Conference on Computer Vision Workshop (ICCVW) on Multiview Relationships in 3D Data, Venice, Italy, October 2017 (bib)
2016
B. Busam, M. Esposito, B. Frisch, N. Navab
Quaternionic Upsampling: Hyperspherical Techniques for 6 D-o-F Pose Tracking
International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016 (bib)
M. Esposito, B. Busam, C. Hennersperger, J. Rackerseder, N. Navab, B. Frisch
Multimodal US-Gamma Imaging using Collaborative Robotics for Cancer Staging Biopsies
International Journal of Computer Assisted Radiology and Surgery (bib)
2015
B. Busam, M. Esposito, S. Che'Rose, N. Navab, B. Frisch
A Stereo Vision Approach for Cooperative Robotic Movement Therapy
International Conference on Computer Vision Workshop (ICCVW), Santiago, Chile, December 2015 (bib)
M. Esposito, B. Busam, C. Hennersperger, J. Rackerseder, A. Lu, N. Navab, B. Frisch
Cooperative Robotic Gamma Imaging: Enhancing US-guided Needle Biopsy
Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Munich, Germany, October 2015 (bib)


UsersForm
Title: M.Sc.
Circumference of your head (in cm):  
Firstname: Benjamin
Middlename:  
Lastname: Busam
Picture: profile_cut.jpg
Birthday: 07.09.1987
Nationality: Cosmopolitan
Languages: English, German, French
Groups: Computer Vision, IFL
Expertise: Registration/Visualization, Computer Vision
Position: External Phd
Status: Active
Emailbefore: b.busam
Emailafter: framos.com
Room: FRAMOS / MI 03.13.009B
Telephone: +49 (89) 710 667 243
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Edit | Attach | Refresh | Diffs | More | Revision r1.124 - 28 Nov 2018 - 20:38 - BenjaminBusam

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