Technische Universität München Robotics and Embedded Systems
 

Artashes Mkhitaryan, M.Sc. (Alumnus)

 

Former Research Assistant

E-Mail mkhitary@in.tum.de
Room HB 2.02.18
Phone +49.89.289.17629
Fax +49.89.289.18107
Visitor's Address Institut für Informatik VI
Technische Universität München
Parkring 13
85748 Garching bei München
Germany
Mailing Address Institut für Informatik VI
Technische Universität München
Boltzmannstraße 3
85748 Garching bei München
Germany
Homepage www.artashm.com
Artashes Mkhitaryan, M.Sc.
 

Curriculum Vitæ

Portfolio

Projects

Teaching

Awards

Publications

[1] Mkhitaryan Artashes and Darius Burschka. 3d reconstruction of dynamic scenes from two asynchronous video-streams. In VISAPP, 2014. [ .bib ]
[2] Artashes Mkhitaryan and Darius Burschka. A Framework for Dynamic Sensory Substitution. In IROS 2014, 2014. [ .bib | .pdf ]
[3] Mkhitaryan Artashes and Darius Burschka. Visual estimation of object density distribution through observation of its impulse response. In VISAPP, 2013. [ .bib | .pdf ]
[4] Mkhitaryan Artashes and Darius Burschka. Rgb-d sensor data correction and enhancement by introduction of an additional rgb view. In IROS, 2013. [ .bib | .pdf ]
[5] Mkhitaryan Artashes and Darius Burschka. Rgb-d sensor data correction and enhancement by introduction of an additional rgb view. In IROS, 2013. [ .bib | .pdf ]
[6] Artashes Mkhitaryan and Darius Burschka. Visual estimation of object density distribution through observation of its impulse response. In VISAPP (1), pages 586-595, 2013. [ .bib ]
[7] Loren Schwarz, Artashes Mkhitaryan, Diana Mateus, and Nassir Navab. Human skeleton tracking from depth data using geodesic distances and optical flow. In Image and Vision Computing, 2012. [ DOI | .bib | .pdf ]
[8] Mkhitaryan Artashes and Darius Burschka. Vision based haptic multisensor for manipulation of soft, fragile objects. In IEEE SENSORS, 2012. [ .bib | .pdf ]
[9] Loren Arthur Schwarz, Artashes Mkhitaryan, Diana Mateus, and Nassir Navab. Estimating human 3d pose from time-of-flight images based on geodesic distances and optical flow. In IEEE Conference on Automatic Face and Gesture Recognition (FG), Santa Barbara, USA, March 2011. [ .bib | .pdf ]