• The Course
• The Lecturers
• School venue
• Travel and accomodation
• Open projects
• Final tests

Download:

• Application form 2020
• Application for Scholarships 2020

 

• Course Schedule 2019 - PDF
• Course Schedule 2018 - PDF
• Course Schedule 2017 - PDF
• Course Schedule 2016 - PDF
• Course Schedule 2015 - PDF

   

• Student presentations 2019 - PDF

3D-Aided Face Recognition: A Perspective on Promises and Challenges

Prof. Ioannis A. Kakadiaris
University of Houston

In this talk, I will present our biometrics research including 3D face recognition (3DFR), 3DFR for partial data, 3D-aided 2D Face Recognition, and profile-based face recognition. In this presentation, I will highlight the main element of our approach, which is an Annotated Face Model (AFM) to describe the facial data. The AFM is fitted to the data using a subdivision-based deformable model framework. The deformed model captures the details of an individual’s face and represents this 3D geometry information in an efficient 2D structure by utilizing the model’s UV parameterization. Our 3D-3D face recognition software ranked first in the 3D-shape section of the 2007 Face Recognition Vendor Test (FRVT) organized by NIST, while our 3D-2D method outperforms the state of the art 2D face recognition methods. The presentation will highlight important, outstanding issues, which need consideration.