Understanding the functions of the skeletal structures of vertebrates in motor control and adaptive strategies for rest posture and locomotion activity is a key issue in several research domains. However, biomechanical expertise reports that current techniques of geometrical prediction of the skeleton structures from 3D external markers present limitations in accuracy due to the fact that flesh and muscles are not rigidly connected to the bones structure. The EVASION research group on computer graphics at INRIA is leading a project on 3D characterization of the relationships between the articulated skeleton of vertebral animals and the deformation of soft tissues (project ANR-Kameleon). This project focuses on the locomotion of small quadruped animals. It is held in cooperation with the National Museum of Natural History in Paris, the biomechanical department of the Rennes University (LPBEM laboratory) and the biomedical department of University Descartes Paris (LNRS laboratory).
We aim to combine skeleton motion data captured with an X-ray videography system and surface deformations measured with a structured light 3D scanner to be built. The goal of this postdoctoral project is to participate to the development of this dedicated system for the 3D dynamic scanning of real deformable objects. 3D surface reconstruction and registration will have to be investigated in order to smooth out noise of the acquired cloud of 3D points and to fill gap due to missing data. The approach will be inspired, but not restricted, to published works such as Rusinkiewicz et al. in 2002 ("Real-time 3D model acquisition", SIGGRAPH’02) for the acquisition of 3D models, Zhang et al. in 2004 for the dynamic 3D reconstruction of complex surfaces such as faces ("Spacetime Faces: High-Resolution Capture for Modelling and Animation", SIGGRAPH’04) and Davis el al. in 2005 ("Spacetime Stereo: A Unifying Framework for Depth from Triangulation", IEEE PAMI 27(2), 2005).
Computer Vision, with an emphasis on range scanning and 3D shape registration. Knowledge of Computer Animation will be a plus.
C++ programming, Matlab. Knowledge of Maya software will be a plus.
most exchanges in the project are in English and French. Spoken and written knowledge of English is mandatory. Knowledge of French will be a plus.
Please send a detailed curriculum vitae (maximum 4 pages), a motivation letter and at least one letter of reference from the PhD advisor. Application should be sent by email to lionel.reveret(at)inria.fr or by regular mail to the following address: