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

Prof. Dr. Nassir Navab

Nassir Navab CAMP - Computer Aided Medical Procedures & Augmented Reality

Research Interests

CAMP Publications

Prof. Gudrun Klinker, Ph.D.

Gudrun Klinker FAR - Fachgebiet Augmented Reality

Research Interests

FAR Publications


Senior Research Scientists

Stefanie Demirci

Dr. Stefanie Demirci

  • Interventional image registration
  • Disocclusion in medical images
  • Shape-based detection in medical images
  • Segmentation in medical treatment planning

Pascal Fallavollita

Dr. Pascal Fallavollita

  • Computer-assisted surgery
  • Medical imaging and segmentation
  • Multimodal image registration
  • 3D reconstruction

Slobodan Ilic

Dr. Slobodan Ilic

  • Deformable surface modeling and tracking
  • 3D reconstruction (multi-camera, stereo)
  • Real-time object detection and tracking
  • Object detection and localization in 3D data

Amin Katouzian

Dr. Amin Katouzian

  • Computer Aided Surgery and Diagnosis.
  • Cardiac, Intracardiac, and Intravascular Imaging.
  • Signal Processing for Medical Applications.
  • Medical Image Analysis and Perception.

Joint CAMP / Helmholtz Senior Research Group

Diana Mateus

Dr. Diana Mateus

  • Machine Learning for Medical Applications
  • 3D shape acquisition, modeling and registration
  • Computer Vision

Tobias Lasser

Dr. Tobias Lasser

  • Medical Imaging Modalities
  • Computer-Assisted Interventions
  • Tomographic Reconstruction Methods

Abouzar Eslami

Dr. Abouzar Eslami

  • Cardiac imaging and image analysis
  • Medical image registration and segmentation
  • Computer aided diagnosis
  • Computer assisted cardiac surgery

Olivier Pauly

Dipl.-Ing. Univ. Olivier Pauly

Senior Affiliate Lecturers / Research Scientists

Michael Friebe

Dr. Michael Friebe

  • Lecturer: "Medical Technology Entrepreneurship" and "Image Guided Surgery: From Bench to Bed and Back (IGSB3)"
  • Research: Translational research in medical imaging & image guided minimal invasive procedures

Wolfgang Wein

Dr. Wolfgang Wein

  • Lecturer: conebeam CT and US Imaging
  • Research: Advanced Ultrasound Imaging

Joerg Traub

Dr. Joerg Traub

  • Lecturer: Image Guided Surgery: From Bench to Bed and Back (IGSB3)
  • Invited lecture in CAMP-I: Translation research in medical technology

Peter Noël

Dr. Peter Noël

  • Lecturer: Medical Imaging
  • Research: Tomographic reconstruction

Arash Taki

Dr. Arash Taki

  • Lecturer: Ultrasound Imaging
  • Scientific Advisor: BMC Master of TUM in Singapore

Selected Video

Vision Targeted CAD Models (Video2)
Video Length: 00:00:36
4 matched points are enough to detect their correct classification

fullsize version

Hot Stuff

7 September 2020, IFL
Lab Research Engineer Position
The CAMP chair at the TUM is looking for a Lab Research Engineer to join the research team at Klinikum rechts der Isar in Munich Germany.
3 September 2020, Garching/ Transla TUM /Online
CAMP Pizza! September 2020 Edition
We are very pleased to announce great speakers to CAMP Pizza on Sept. 3 2020. This time in the event series Prof. Daniel Rückert&, Ph.D (Imperial College London), Cristina Piazza&, Ph.D (Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL (USA), and Dr Georgios Kaissis, MHBA (Institute of Diagnostic and Interventional Radiology and the Institute for Artificial Intelligence and Data Science in Healthcare and Medicine at the Technical University of Munich) will join our event in addition to talks by Prof. Navab, Benjamin Busam, Sasan Martinfar, Alexander Lehner, and Sen Wang. The event will be held in two physical locations (Garching and Transla TUM) as well as virtual.
2 September 2020, Online
Invited Talk by Dr. Tolga Birdal: A Geometric Take on Probabilistic Synchronization
Tolga Birdal will present an unconventional sequel of works bringing fresh perspectives to the 2D/3D multiview alignment, correspondence estimation and optimization problems. In this peculiar talk, Tolga interrogates the mono-optimality in vision problems and argues for an interpolatant between optimization and statistical inference that characterize the space and geometry of solutions for a specific downstream task. Within the scope, the problem of particular interest is synchronization, operation to unison. Tolga will start off with the nuts and bolts on probability and inference in geometric domains such as the Riemannian tempered stochastic gradient MCMC methods. He will then apply different variations of this algorithm to various group valued non-Euclidean parameters (rotations, poses and permutations) belonging to the highly non-convex problem of synchronization within an undirected graph. Subsequently, he will leap into non-parametric methods and show how in the most general case, cyclic-consistency of distributions on maps can be understood as a sum of optimal transportations in the Lie group of the parameters. In the remainder of the talk, he will discuss how some of these algorithms can be used in contemporary deep neural networks as well as alternative twists to synchronize: multi-scan registration without registration. Findings relevant to this project are published in NeurIPS? 2018, CVPR 2019 & CVPR 2020 as well as the CVPR 2020 tutorial on synchronization: http://synchinvision.github.io/. The methods are particularly suited to improve SFM (structure from motion) and SLAM (simultaneous localization and mapping) pipelines that are essential for computer vision and robotics.
8 May 2020, Munich
FastRAi selected for EIT Health 2020 COVID-19 Rapid Response
We are happy to announce that our proposal ‘FastRAI’ has been selected for the EIT Health 2020 portfolio as a COVID-19 Rapid Response project!
7 May 2020, Online
PhD Defense by Wadim Kehl
The task of detecting objects in images is essential for autonomous systems to categorize, comprehend and eventually navigate or manipulate its environment. Since many applications demand not only detection of objects but also the estimation of their exact poses, 3D CAD models can prove helpful since they provide means for feature extraction and hypothesis refinement. This work, therefore, explores two paths: Firstly, we will look into methods to create richlytextured and geometrically accurate models of real-life objects. Using these reconstructions as a basis, we will investigate on how to improve in the domain of 3D object detection and pose estimation, focusing especially on scalability, i.e. the problem of dealing with multiple objects simultaneously.


Recent Publications

30 November 2020, Kyoto, Japan
2 papers accepted at ACCV 2020
We are happy to announce that 2 papers from our group were accepted and will be presented at the 2020 Asian Conference on Computer Vision (ACCV 2020), November 30 - December 04, 2020.
9 November 2020, Recife/Porto De Galinhas, Brasil
3 Papers accepted at ISMAR 2020
We are happy to announce that several papers of our chair will be presented at the IEEE International Symposium on Mixed and Augmented Reality that will happen between November 09th and 13th 2020.
31 August 2020, Lima, Peru
15 papers accepted at MICCAI 2020
We are happy to announce that 15 papers of our chair will be presented at the 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2020) in Lima, Peru, October 4-8, 2020.
23 July 2020,
Five Papers accepted at IROS 2020 , Three of them also at RAL
We are happy to announce that three papers from our Chair are accepted by IEEE Robotics and Automation Letters and together with two more papers from out chair will be presented at the International Conference on Intelligent Robots and Systems (IROS 2020) in Las Vegas, USA, October 25 - 29, 2020.
3 July 2020,
4 papers accepted at ECCV 2020
We are happy to announce that 4 papers from our Chair were accepted and will be presented at the 2020 European Conference on Computer Vision (ECCV 2020), August 24 - 28, 2020.

Alumni News


Location Technische Universität München
Fakultät für Informatik / I16
Boltzmannstraße 3
85748 Garching bei München

Proud of our Alumni

-none- Sebastian Poelsterl
The Institute of Cancer Research
Algorithms for Large-scale Learning from Heterogeneous Survival Data
24 May 2016
M.Sc. Juan José González Herrero

Dr. Bjoern Schwerdtfeger

Pick-by-Vision: Bringing HMD-based Augmented Reality into the Warehouse
9 July 2010
Dr. Severine Habert

Dr. Arash Taki
Marketing Manager at Medtronic, MEACAT (Middle East, Africa, Central Asia & Turkey)
Improvement and Automatic Classification of IVUS-VH (Intravascular Ultrasound – Virtual Histology) Images
30 August 2010

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