Dipl. Math. Oliver Müller
Leibniz Universität Hannover
Institut für Informationsverarbeitung
phone: +49 511 762-5314
fax: +49 511 762-5333
office location: room 1331
Oliver Müller studied Mathematics and Computer Science at the Leibniz University of Hannover. He received his Dipl. Math. degree from the Leibniz University of Hannover in November of 2010. His diploma thesis "Szenenrekonstruktion aus Bildsequenzen mit Hilfe von konischen Bildmerkmalen" dealt with scene reconstruction using affine invariant image features.
Since then he has been working as a research assistant toward a PhD degree at the 'Institut für Informationverarbeitung' at the Leibniz University of Hanover.
His research interests include computer vision and machine learning topics with focus on:
Show selected publications only
- Probabilistic graphical models: Modeling and approximate inference techniques
- Object tracking
- Pose estimation
Global Consistency Priors for Joint Part-based Object Tracking and Image Segmentation
IEEE Winter Conference on Applications of Computer Vision (WACV), March 2017
Facial Landmark Localization using Robust Relationship Priors and Approximative Gibbs Sampling
Advances in Visual Computing
, Springer, Vol. 9475, pp. 365 -- 376, Las Vegas, 2015, edited by George Bebis et al.
In situ optical coherence tomography of percutaneous implant-tissue interfaces in a murine model
Biomedical Engineering/Biomedizinische Technik, De Gruyter, pp. 1-9, Karlsruhe, May 2013, edited by Dössel, Olaf
Slice Sampling Particle Belief Propagation
IEEE International Conference on Computer Vision (ICCV), pp. 1129--1136, Sydney, Australia, 2013
Compensating motion artifacts of 3D in vivo SD-OCT scans
Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 7510, pp. 198--205, October 2012, edited by Nicholas Ayache, Hervé Delingette, Polina Golland, Kensaku Mori
Model Based 3D Segmentation and OCT Image Undistortion of Percutaneous Implants
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
14th International Conference, Lecture Notes in Computer Science (LNCS), Springer Berlin / Heidelberg, Vol. 6893, pp. 454-462, September 2011, edited by Fichtinger, Gabor and Martel, Anne and Peters, Terry
Feature Trajectory Retrieval with Application to Accurate Structure and Motion Recovery
Advances in Visual Computing, 7th International Symposium (ISVC), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, Vol. 6938, pp. 156--167, Las Vegas, NV, USA, September 2011, edited by George Bebis et al.
Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape
Advances in Visual Computing, 6th International Symposium (ISVC), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, Vol. 6453, pp. 264--275, Las Vegas, NV, USA, November 2010, edited by George Bebis et al.
HALF-SIFT: High-Accurate Localized Features for SIFT
The 22nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Feature Detectors and Descriptors: The State Of The Art and Beyond, IEEE Computer Society, pp. 31--38, Miami, FL, USA, June 2009