- Published multiple papers on face recognition, such as 'Pose independent face recognition by localizing local binary patterns via deformation components', 'A dictionary learning-based 3D morphable shape model', etc.
- Participated in several international conferences like ICPR, CVPR.
Research Experience
- Assistant Professor (RTD/A)
- Has extensive experience in face recognition technology, including pose-independent face recognition based on local binary patterns via deformation components, and dictionary learning-based 3D morphable model construction.
Background
Claudio Ferrari is a member of IMPlab, with deep research in computer vision and pattern recognition.