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

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Benjamin Busam

Contact Information

Benni Benjamin Busam

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching bei München
Room: MI 03.13.044
Tel. +49 (89) 289-19412
Interdisziplinäres Forschungslabor
Klinikum rechts der Isar
Technische Universität München
Ismaninger Str. 22
81675 München
Room: 01.01.03a-c



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Brief Bio

Benjamin Busam is a Senior Research Scientist with the Technical University of Munich coordinating the Computer Vision activities at the Chair for Computer Aided Medical Procedures. Formerly Head of Research at FRAMOS Imaging Systems, he led the 3D Computer Vision Team at Huawei Research, London from 2018 to 2020. Benjamin studied Mathematics at TUM. In his subsequent postgraduate programme, he continued in 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 a mathematical focus on Projective Geometry and 3D point cloud matching, he now works on 2D/3D computer vision for pose estimation, depth mapping and mobile AR as well as multi-modal sensor fusion. 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 and was awarded Innovation Pioneer of the Year 2019 by Noah's Ark Laboratory, London.

Research Interests

  • 3D Computer Vision
  • Sensor Fusion
  • Efficient Depth Mapping
  • Stereo Imaging and Point Cloud Matching
  • AR and SLAM
  • Machine Learning, Deep Learning and Neural Networks, Reinforcement Learning
  • Projective Geometry and Invariant Theory


Show previous Teaching


There are always available topics in 3D vision for Master's theses and PhD students with potential industry support.
Our industrial partners are constantly looking for motivated working students, graduates and young professionals. Internships in different fields of application in computer vision are offered.
If you are interested in writing your thesis in 3D vision or some industry experience don't hesitate in contacting me.

Here is a list of planned, current and previous projects:
Semester Type Topic By Material
2021/22 WS PhD Project Collaborative Robotic Grasping Guangyao Zhai  
2021 SS MSc Thesis Mirror-Enhanced 3D Object Detection Hanzhi Chen  
2021 SS MSc Thesis Polarimetric Pose Estimation of Photometrically Challenging Objects Daoyi Gao  
2021 SS MSc Thesis Deep Synthetic Polarimetric 6D Object Pose Estimation Arturo Guridi  
2021 SS MSc Thesis Robotic Path Optimization for Ultrasound Compounding Viviana Sutedjo  
2021 SS Guided Research Attention meets Geometry for Consistent Monocular Depth Estimation Daoyi Gao
Hanzhi Chen
2021 SS Guided Research Light Source Estimation for Photorealistic Object Rendering Alexander Epple  
2020/21 WS PhD Project Robust 3D Shape Matching Hao Yu  
2020/21 WS PhD Project Generic 6D Object Pose Estimation Ivan Shugurov  
2020/21 WS PhD Project Monocular 6D Pose Estimation for Robotic Interactions Pengyuan Wang  
2020/21 WS Practical Project Polarimetric Pose Estimation Magdalena Gawlinska
Yitong Li
Iuliia Skobleva

Show more projects

Awards and Scholarships

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Talks and Presentations

Show previous Talks and Presentations


P. Wang, F. Manhardt, L. Minciullo, L. Garattoni, S. Meier, N. Navab, B. Busam
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration
International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 2021
The first two authors contributed equally to this paper.
D. Hernandez-Juarez, S. Parisot, B. Busam, A. Leonardis, G. Slabaugh, S. McDonagh?
A Multi-Hypothesis Approach to Color Constancy
Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020 (bib)
M. Saleh, S. Dehghani, B. Busam, N. Navab, F. Tombari
Graphite: Graph-Induced feaTure Extraction for Point Cloud Registration
3DV Oral 2020 (bib)
B. Busam, H. J. Jung, N. Navab
I Like to Move It: 6D Pose Estimation as an Action Decision Process
arXiv, September 2020 (bib)
F. Manhardt, G. Wang, B. Busam, M. Nickel, S. Meier, L. Minciullo, X. Ji, N. Navab
CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning
arXiv/2003.05848v3, September 2020 (bib)
A. Lopez-Rodriguez, B. Busam, K. Mikolajczyk
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
Asian Conference on Computer Vision (ACCV), Kyoto, Japan, November 2020 [oral]. (bib)
P. Ruhkamp, R. Gong, N. Navab, B. Busam
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching
arXiv, July 2020 (bib)
A. Barroso-Laguna, Y. Verdie, B. Busam, K. Mikolajczyk
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning
Asian Conference on Computer Vision (ACCV), Kyoto, Japan, November 2020 (bib)
F. Manhardt, D. Arroyo, C. Rupprecht, B. Busam, T. Birdal, N. Navab, F. Tombari
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data
International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019 (bib)
B. Busam, M. Hog, S. McDonagh?, G. Slabaugh
SteReFo: Efficient Image Refocusing with Stereo Vision
International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea, November 2019 [oral]. (bib)
T. Birdal, B. Busam, N. Navab, S. Ilic, P. Sturm
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019 (bib)
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 [oral]. (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)
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 [oral]. (bib)
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)
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 [oral]. (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 [oral]. (bib)

Title: M.Sc.
Circumference of your head (in cm):  
Firstname: Benjamin
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: Scientific Staff
Status: Active
Emailbefore: b.busam
Room: MI 03.13.044
Telephone: +49 (89) 289 19412

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