Displaying items by tag: Daniela CRACIUN

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

The article describing our global-to-local shape-similarity search system prototype has been published in the IEEE Biosmart 2017 conference

Daniela Craciun 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. She is currently with the CNAM – iMATH - GBA Department conducting 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

The article describing our shape-similarity search system prototype has been published in the 3D Object Retrieval workshop of the Eurographics 2017 conference

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