AlexanderLadikos

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

Dr. Alexander Ladikos

CTO at ImFusion GmbH



Real-time 3D reconstruction with RecFusion

RecFusion is a real-time 3D reconstruction software for RGB-D sensors! There is also a C++ SDK available for integrating real-time 3D reconstruction into your own applications. For more information visit the RecFusion homepage.


Research Interests

My research interests include 3D reconstruction from multiple views and optical tracking.


Projects

Intensity-based Tracking?

Intensity-based Tracking?

In this project, we are interested in the fundamental problem of simultaneously tracking a piecewise-planar scene and accurately estimating the 3D displacement of the camera. The objective is to have an algorithm with a higher convergence frequency and a higher convergence rate than standard optimization methods while having an equivalent computational complexity. Since the tracking is aimed to be used in industrial real-time augmented reality applications, in addition to the robustness and the speed performance, the algorithm should be very precise. For some applications, we are investigating alternatives where an off-line learning step improves the efficiency and the convergence properties of the tracking algorithm.
Real-Time 3D Reconstruction

Real-Time 3D Reconstruction

We are working on a real-time 3D reconstruction system aimed at recovering the 3D shape of objects inside a working area using only camera images. The working area is observed by 16 cameras mounted on the ceiling. Using these images we reconstruct an occupancy map and extract individual objects. The long-term goal of the project is to use this occupancy map to detect possible collisions between a robot placed in the working area and other objects in its path.
Hybrid Tracking

Hybrid Tracking

In this project a complete real-time model-based tracking system for piecewise-planar objects which combines template-based and feature-based approaches is being developed. The main contributions are an extension to the ESM algorithm used for template-based tracking and the formulation of a feature-based tracking approach, which is specifically tailored for use in a real-time setting. In order to cope with highly dynamic scenarios, such as illumination changes, partial occlusions and fast object movement, the system adaptively switches between template-based tracking, feature-based tracking and a global initialization phase. The tracking system achieves real-time performance by applying a coarse-to-fine optimization approach and includes means to detect a loss of track.
Workflow Analysis Using 4D Reconstruction Data

Workflow Analysis Using 4D Reconstruction Data

This project targets the worklow analysis of an interventional room equipped with 16 cameras fixed on the ceiling. It uses real-time 3D reconstruction data and information from other available sensors to recognize objects, persons and actions. This provides complementary information to specific procedure analysis for the development of intelligent and context-aware support systems in surgical environments.

Diploma Thesis

Towards Robust Markerless Tracking:
Combining Feature-based and Intensity-based Approaches

Publications

2013
W. Wein, A. Ladikos, B. Fuerst, A. Shah, K. Sharma, N. Navab
Global Registration of Ultrasound to MRI using the LC2 Metric for Enabling Neurosurgical Guidance
Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Nagoya, Japan, September 2013 (bib)
W. Wein, A. Ladikos
Towards General Motion Recovery in Cone-Beam Computed Tomography
12th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, June 16-21 2013, Lake Tahoe, CA USA (bib)
2012
A. Ladikos, W. Wein
Geometric calibration using bundle adjustment for cone-beam computed tomography devices
SPIE Medical Imaging, February 2012, San Diego, USA. (bib)
A. Aichert, W. Wein, A. Ladikos, T. Reichl, N. Navab
Image-based tracking of the teeth for orthodontic augmented reality
Proceedings of the 15th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Nice, France, October 2012 (bib)
2011
W. Wein, A. Ladikos
Detecting Patient Motion in Projection Space for Cone-beam Computed Tomography
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), Toronto, Canada, September 2011 (bib)
W. Wein, A. Ladikos, A. Baumgartner
Self-calibration of geometric and radiometric parameters for cone-beam computed tomography
11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, July 11-15 2011, Potsdam, Germany. (bib)
2010
A. Ladikos, E. Boyer, N. Navab, S. Ilic
Region Graphs for Organizing Image Collections
ECCV Workshop on Reconstruction and Modeling of Large-Scale 3D Virtual Environments Workshop, September 2010 , Crete, Greece. (bib)
A. Ladikos, C. Cagniart, R. Gothbi, M. Reiser, N. Navab
Estimating Radiation Exposure in Interventional Environments
Medical Image Computing and Computer-Assisted Intervention (MICCAI), September 2010 , Beijing, China. (bib)
2009
A. Ladikos, N. Navab
Real-Time 3D Reconstruction for Occlusion-aware Interactions in Mixed Reality
5th International Symposium on Visual Computing (ISVC), Las Vegs, Nevada, USA, Nov 30-Dec 2 2009. (bib)
A. Ladikos, S. Ilic, N. Navab
Spectral Camera Clustering
ICCV Workshop on Emergent Issues in Large Amounts of Visual Data, Kyoto, Japan, Oct 4 2009. (bib)
A. Bigdelou, A. Ladikos, N. Navab
Incremental Visual Hull Reconstruction
British Machine Vision Conference (BMVC), London (UK), September 7-10, 2009 (bib)
2008
A. Ladikos, S. Benhimane, N. Navab
High Performance Model-Based Object Detection and Tracking
Computer Vision and Computer Graphics. Theory and Applications, Communications in Computer and Information Science, Vol. 21, Springer, 2008 (bib)
A. Ladikos, S. Benhimane, N. Navab
Multi-View Reconstruction using Narrow-Band Graph-Cuts and Surface Normal Optimization
British Machine Vision Conference (BMVC), Leeds (UK), September 1-4, 2008 (bib)
A. Ladikos, S. Benhimane, N. Navab
Real-time 3D Reconstruction for Collision Avoidance in Interventional Environments
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2008, New York, USA, September 6-10 2008 (bib)
A. Bigdelou, A. Ladikos, N. Navab
Shape from Silhouette in Dynamic Scenes
Technical Report at Technical University of Munich (TUM), Munich (DE), August 15, 2008 (bib)
A. Ladikos, S. Benhimane, N. Navab
Efficient Visual Hull Computation for Real-Time 3D Reconstruction using CUDA
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska (USA), June 2008. Workshop on Visual Computer Vision on GPUs (CVGPU) (bib)
A. Ladikos, S. Benhimane, M. Appel, N. Navab
Model-Free Markerless Tracking for Remote Support in Unknown Environments
International Conference on Computer Vision Theory and Applications, Funchal, Portugal, January 2008. (bib)
2007
S. Benhimane, A. Ladikos, V. Lepetit, N. Navab
Linear and Quadratic Subsets for Template-Based Tracking
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minneapolis, Minnesota, June 2007 (bib)
A. Ladikos, S. Benhimane, N. Navab
A Real-Time Tracking System Combining Template-Based and Feature-Based Approaches
International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 2007. (bib)
2006
G. Panin, A. Ladikos, A. Knoll
An Efficient and Robust Real-Time Contour Tracking System
IEEE International Conference on Computer Vision Systems, New York, USA, January 2006. (bib)

Teaching

Summer Term 2010

Summer Term 2008

Summer Term 2007

Student Projects

Finished


UsersForm
Title: Dr.
Circumference of your head (in cm):  
Firstname: Alexander
Middlename:  
Lastname: Ladikos
Picture: al_small.jpg
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Nationality: Germany
Languages: English, German, French
Groups: Computer Vision
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Position: Scientific Staff
Status: Alumni
Emailbefore: ladikos
Emailafter: in.tum.de
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Alumniactivity: Manager Computer Vision R&D at ImFusion GmbH
Defensedate: 5 May 2011
Thesistitle: Real-Time Multi-View 3D Reconstruction for Interventional Environments
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