Displaying items by tag: Daniela CRACIUN

SHREC’18 - Protein Shape Retrieval stars

The article describing the performance of different shape similarity search methods on the protein shapes track of the SHREC2018 contest is available

Daniela Craciun

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

SHREC’17 Track: Protein Shape Retrieval

The article describing the performance of different shape similarity search methods on the protein shapes track of the SHREC2017 contest is now available

Subscribe to this RSS feed