Daniela Craciun is a formner member of the ViDOCK team. She is a Research Scientist in Applied Mathematics to Computer
Vision and Robotics fields. She achieved her Ph. D. degree at Telecom
ParisTech ENST along with a doctoral grant funded by the French Mapping
Agency to work on 3D modeling of complex environments from active and
passive 3D vision sensors. She joined the Robotics Center (CAOR)
of the MINES ParisTech to work on 3D modeling from mobile mapping
systems and the CNAM – iMATH - GBCM Lab
to conduct research on 3D shape modeling and pattern recognition within
the ERC project VIDOCK.
Selected publications:
Craciun D, Sirugue J, Montes M. Global-to-local protein shape similarity system driven by digital elevation models. IEEE Biosmart 2017
N Song, D Craciun, et al. Protein Shape Retrieval. Eurographics Workshop on 3D Object Retrieval, 2017
Craciun D, Levieux G, Montes M. Shape Similarity System driven by Digital Elevation Models for Non-Rigid Shape Retrieval. Eurographics Workshop on 3D Object Retrieval, 2017