TNT logo LUH TNT
Bastian Wandt, M.Sc.
Leibniz Universität Hannover
eNIFE
Schneiderberg 32
30167 Hannover
Germany
phone: +49 511 762-5038
fax: +49 511 762-5333
office location: room 232
 

Bastian Wandt studied Mechatronics at the Leibniz Universität Hannover. During his bachelor studies he focused on robotics and automation. He received his B. Sc. in 2012 with a thesis on path planning of autonomous mobile robots. His master thesis "Ganganalyse in monokularen Bildsequenzen mittels eines morphable Shape-Motion-Models" dealt with 3D reconstruction and animation.

Since 2014 he is working towards his Dr.-Ing. at the Institut für Informationsverarbeitung (TNT). His main research interests are human motion capture and 3D reconstruction. A special focus lies on the application of various machine learning approaches such as dimensionality reduction, compressed sensing, and deep learning for neural networks. His current research analyses deep neural networks for human pose reconstruction.

Show selected publications only
  • Thiemo Alldieck, Marc Kassubeck, Bastian Wandt, Bodo Rosenhahn, Marcus Magnor
    Optical Flow-based 3D Human Motion Estimation from Monocular Video
    German Conference on Pattern Recognition (GCPR), September 2017
  • Petrissa Zell, Bastian Wandt, Bodo Rosenhahn
    Joint 3D Human Motion Capture and Physical Analysis from Monocular Videos
    The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, July 2017
  • Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
    A Kinematic Chain Space for Monocular Motion Capture
    arXiv, arXiv, February 2017
  • Bastian Wandt, Thorsten Laude, Yiqun Liu, Bodo Rosenhahn, Jörn Ostermann
    Extending HEVC Using Texture Synthesis
    IEEE Visual Communications and Image Processing (VCIP), St. Petersburg, Florida, USA, 2017
  • Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
    3D Reconstruction of Human Motion from Monocular Image Sequences
    Transactions on Pattern Analysis and Machine Intelligence, IEEE, Vol. 38, No. 8, pp. 1505-1516, 2016
  • Petrissa Zell, Bastian Wandt, Bodo Rosenhahn
    Physics-based Models for Human Gait Analysis
    Handbook of Human Motion, Springer International Publishing, 2016, edited by Bertram Müller, Sebastian I. Wolf
  • Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
    3D Human Motion Capture from Monocular Image Sequences
    IEEE Conference on Computer Vision and Pattern Recognition Workshops, IEEE, June 2015
Other activities

Supervised theses

  • Klassifikation menschlicher Bewegungen in Unterräumen (2017)
  • Modellierung eines Posenraums menschlicher Bewegungen mit Hilfe neuronaler Netze (2017)

Teaching:

2014-2017: "Tracking und Matching in Bildsequenzen"
since 2017: "Machine Learning"