Context:
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).
Work profile:
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).
Requested skills:
Computer Vision, with an emphasis on range
scanning and 3D shape registration. Knowledge of Computer Animation
will be a plus.
Technical skills:
C++ programming, Matlab. Knowledge of Maya
software will be a plus.
Language:
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.
Application:
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: