DavidTan

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

Contact

David Tan

David Joseph Tan

- Email:

- Mailing Address:

Chair for Computer Aided Medical Procedures and Augmented Reality
Institut für Informatik / I-16
Boltzmannstr. 3
85748 Garching b. München

- Office: MI 03.13.035

- Phone: +49 89 289 19435

Short CV

Summer 2015 Research Internship
Microsoft Research Cambridge
Since June 2012 Ph.D. Candidate
Computer Vision Group at CAMP
Technische Universität München
2012 M.Sc. in Biomedical Computing
Technische Universität München
Sehr Gut Bestanden (Passed with Distinction)
2009 B.Sc. in Computer Engineering
Ateneo de Manila University
Program’s Award, Honorable Mention

Video Demo

Object pose estimation aims at determining the relation between the camera and the object of interest. For rigid objects, the pose is defined through three degrees of freedom for rotation and three for translation. Compared to the state of the art aimed at the same goal, our algorithm holds important attributes such as high robustness against holes and occlusion, low computational cost of both learning and tracking stages, and low memory consumption.




We demonstrate a real-time method for 3D head pose estimation (with 6 d.o.f.) from RGB-D sequences. Our algorithm relies on a Random Forest framework that is able to regress the head pose at every frame in a temporal tracking manner. Such framework is learned once from a generic dataset of 3D head models and refined online to adapt the forest to the specific characteristics of each subject.



List of Publications

2017
D. J. Tan , N. Navab, F. Tombari
Looking Beyond the Simple Scenarios: Combining Learners and Optimizers in 3D Temporal Tracking
IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Nantes, France, 2017 (bib)
D. J. Tan , N. Navab, F. Tombari
Adaptive Learning-based Temporal Tracker for 3D Head Shape Models
British Machine Vision Conference, London, UK, September 4-7, 2017 (bib)
J. Page Vizcaino, N. Rieke, D. J. Tan , F. Tombari, A. Eslami, N. Navab
Automatic Initialization and Failure Detection for Surgical Tool Tracking in Retinal Microsurgery
Workshops Bildverarbeitung fuer die Medizin (BVM), Heidelberg, March 12-14, 2017. (bib)
D. J. Tan , F. Tombari, N. Navab
Real-Time Accurate 3D Head Tracking and Pose Estimation with Consumer RGB-D Cameras
International Journal of Computer Vision (bib)
2016
N. Rieke, D. J. Tan , F. Tombari, J. Page Vizcaino, C. Amat di San Filippo, A. Eslami, N. Navab
Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation
Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016 (bib)
N. Rieke, D. J. Tan , C. Amat di San Filippo, F. Tombari, M. Alsheakhali, V. Belagiannis, A. Eslami, N. Navab
Real-time Localization of Articulated Surgical Instruments in Retinal Microsurgery
Medical Image Analysis, vol. 34, 82-100, 2016. The original publication is available online at medicalimageanalysisjournal.com. A free version is available until November 17,2016 (bib)
D. J. Tan , T. Cashman, J. Taylor, A. Fitzgibbon, D. Tarlow, S. Khamis, S. Izadi, J. Shotton
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, June 2016 (bib)
2015
D. J. Tan , F. Tombari, S. Ilic, N. Navab
A Versatile Learning-based 3D Temporal Tracker: Scalable, Robust, Online
International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015 (bib)
D. J. Tan , F. Tombari, N. Navab
A Combined Generalized and Subject-Specific 3D Head Pose Estimation
International Conference on 3D Vision (3DV), Lyon, France, October 2015 (bib)
N. Rieke, D. J. Tan , M. Alsheakhali, F. Tombari, C. Amat di San Filippo, V. Belagiannis, A. Eslami, N. Navab
Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery
Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Munich, Germany, October 2015 (bib)
2014
D. J. Tan , S. Ilic
Multi-Forest Tracker: A Chameleon in Tracking
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, USA, June 24, 2014 (bib)
D. J. Tan , S. Holzer, N. Navab, S. Ilic
Deformable Template Tracking in 1ms (Oral)
British Machine Vision Conference, Nottingham, UK, September 1, 2014 (bib)
2013
J. Lallemand, O. Pauly, L. Schwarz, D. J. Tan , S. Ilic
Multi-task Forest for Human Pose Estimation in Depth Images. (Oral Presentation)
In Proc. International Conference on 3D Vision (3DV 2013) (bib)
2012
S. Holzer, S. Ilic, D. J. Tan , N. Navab
Efficient Learning of Linear Predictors using Dimensionality Reduction (Oral)
Asian Conference on Computer Vision (ACCV), Korea, Daejeon, November 2012 (bib)
S. Holzer, M. Pollefeys , S. Ilic, D. J. Tan , N. Navab
Online Learning of Linear Predictors for Real-Time Tracking
12th European Conference on Computer Vision (ECCV), Firenze, Italy, October 2012. (bib)


UsersForm
Title: -none-
Circumference of your head (in cm):  
Firstname: David
Middlename:  
Lastname: Tan
Picture: photo.png
Birthday: 10.01.1988
Nationality: Blank
Languages: English
Groups: Computer Vision
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Position: Scientific Staff
Status: Active
Emailbefore: tanda
Emailafter: in.tum.de
Room: MI 03.13.035
Telephone: +49 (89) 289-19435
Alumniactivity:  
Defensedate: 8 June 2017
Thesistitle: Learn to Track: From Images to 3D Data
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