webinar by Prof. Pong Chi Yuen on “Remote Photoplethysmography Based 3D
Facial Mask Presentation Attack Detection”. Detail on the webinar are
given below:

Title: Remote Photoplethysmography Based 3D Facial Mask Presentation
Attack Detection
Speaker: Prof. Pong Chi Yuen, Hong Kong Baptist University, Hong Kong
When: May 24, at 10am Hong Kong time (4 am CEST, i.e., May 23 at 9 pm
CDT, 10pm EDT)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_CMxMWw18QtKgo9zqJFujHQ

For details on the webinar see:
https://ieee-biometrics.org/index.php/activities/webinars

*****
Talk Summary: While face recognition technology has been extensive
deployed in many practical applications, research problems related to
face presentation attack detection (PAD) are still unsolved. The popular
face presentation attacks include images, videos and 3D masks. Among
these, 3D mask presentation attacks are the most challenging because
super realistic high-quality 3D facial masks can be created at a
reasonable cost. One of the promising approaches in addressing 3D mask
presentation attacks is remote photoplethysmography (rPPG). In this
talk, I will share my research journey on face presentation attack
detection from 2016 to the present. The talk will first discuss the basic
principle of using rPPG technology for face PAD, and discuss our
proposed rPPG-based face PAD methods. The reliability of rPPG-based face
PAD methods rely on the quality of the estimated rPPG signals. I will
also discuss the robustness of the rPPG estimation algorithms. Some
comments and suggestions on future research will also be given at the
end of the talk.

About the speaker: Prof. Pong Chi Yuen is a Chair Professor in Computer
Science and Associate Dean at Hong Kong Baptist University. He received
his Ph.D. degree in Electrical and Electronic Engineering in 1993 from
The University of Hong Kong. Dr. Yuen has been involved in various
conferences and served as the director of Croucher ASI on biometric
authentication and biometric security and privacy. He has received the
Outstanding Editorial Board Service Award in 2018 and served as Vice
President of the IEEE Biometrics Council. Dr. Yuen has received the
first and second prize Natural Science Awards from Guangdong Province
and the Ministry of Education, China, respectively. He is a Fellow of
IAPR and currently serves as Senior Area Editor of IEEE Transactions on
Information Forensics and Security and Associate Editor of IEEE
Transactions on Biometrics, Behaviour, and Identity Science.

We invite submissions to the 11th International Conference on 3D Vision
(3DaVos 2024), which will be held in Davos, Switzerland, on March 18-21,
2024. Since 2013, under the name 3DV, this event provides a platform for
disseminating research results covering a broad variety of topics in the
area of 3D computer vision and graphics, from novel optical sensors,
signal processing, geometric modeling, representation and transmission,
to visualization, analysis, interaction, and a variety of applications.

3DV 2024 will showcase high-quality single-track oral and poster
presentations and demonstration sessions. It will also feature
industrial exhibitions held in conjunction with the main conference.
Proposals for Workshops and Tutorials are also invited.

**** Important Dates ****

All deadlines are 23:59 Pacific Time (PT). No extensions will be
granted.

Paper submission        July 31, 2023
Supplementary   August 7, 2023
Paper notification      October 15, 2023
Camera ready    December 1, 2023
Main conference March 18-21, 2024

**** Conference Website ****

Conference website: https://3dvconf.github.io/2024/

**** Topics of interest ****

Topics of interest include, but are not limited to:

ACQUISITION

Geometry
Calibration
Physics-based vision and shape from X
Photogrammetry
Structure from motion and SLAM
Dense reconstruction and stereo
Structured light and TOF sensors
Computational photography
MODELLING

Shape representation and features
Geometry processing
Appearance modelling
Registration
4D dynamic shape
Generative and morphable models
3D motion modelling
High-level representation of 3D data
ANALYSIS

Shape recognition and analysis
Segmentation
Motion and tracking
Body, face and gesture
CAD data analysis
Dataset and benchmarking
RENDERING AND INTERACTION

Neural rendering
Image-based rendering
Applied perception
Augmented and mixed reality
Human-computer interaction
Textured 3D scan completion
APPLICATIONS

Robotics
Cultural heritage
Industrial
Space
Medical
Entertainment
Digital fabrication
Sports
Biology