The 3DFaceAnalyzer project aims at automatic interpretation of 3D face images so that contactless human-computer interaction based on typical user’s facial attributes, such as facial expressions, gender, age and ethnic origin, can be developed for an improved HCI.
While most of the face attribute sensitive applications are still unfathomable, especially in the field of human-computer interaction, one can already figure out some simple direct applications, including for instance reliable face recognition, user’s affect recognition based on facial expression, age and gender specific human computer interaction, etc.
This project, supported by ANR and NSFC, proposes to join the efforts of two groups Telecom Lille1/LIFL and Ecole Centrale de Lyon/LIRIS from the French side and the IRIP of Beihang University the IIP of North China University of Technology (NCUT) from the French side.
8.45 – 9.00 — Opening
9.00 – 9.30 Huibin LI (Ecole Centrale de Lyon/LIRIS), 3D Facial Expression Recognition via Multiple Kernel Learning of Multi-Scale Local Normal Patterns
9.30 – 10.00 Boulbaba Ben Amor (Télécom Lille1/LIFL), 3D face recognition under occlusion
10.00 – 10.30 Liming Chen (Ecole Centrale de Lyon/LIRIS), A Group of Facial Normal Descriptors for Recognizing 3D Identical Twins
10.30 – 11.00 —Coffee Break
11.00 – 11.30 Huibin Li (Ecole Centrale de Lyon/LIRIS), Surface Meshing with Curvature Convergence
11.30 – 12.00 Hassen Drira (Télécom Lille1/LIFL), 3D Dynamic Expression Recognition based on a Novel Deformation Vector Field and Random Forest
12.00 – 12.30 Catherine Herold (Morpho/Telecom Paristech), Head Shape Parameter Estimation from Video Sequences using a Particle Filter.
12.30 – 14.00 — break lunch
14.00 – 14.30 Lahoucine Ballihi (Télécom Lille1/LIFL), Boosting 3D-Geometric Features for Efficient Face Recognition and Gender Classification
14.30 – 15.00 Baiqiang Xia (Télécom Lille1/LIFL), Gender/Age and 3D Facial Symmetry: What’s the Relationship ?
15.00 – 15.30 Di Huang (IRIP/Beihang University ), Face based gender and ethnicity classification using local descriptors.
15.30 – 16.00 Yunhong WANG (IRIP/Beihang University ), Learning the Spherical Harmonic Features for 3D Face Recognition.
Registration to the workshop is free but mandatory, please send an email to Professor Mohamed Daoudi (firstname.lastname@example.org)
The workshop will place in Télécom Lille1 (Amphi Morse).