Face Liveness Detection From a Single Image via Diffusion Speed Model
Product Description
Face Liveness Detection From a Single Image via Diffusion Speed Model
Abstract— Face Liveness Detection From a Single Image via Diffusion Speed Model. Spoofing using photographs or videos is one of the most common methods of attacking face recognition and verification systems. In this paper, we propose a real-time and nonintrusive method based on the diffusion speed of a single image to address this problem. In particular, inspired by the observation that the difference in surface properties between a live face and a fake one is efficiently revealed in the diffusion speed, we exploit anti spoofing features by utilizing the total variation flow scheme. More specifically, we propose defining the local patterns of the diffusion speed, the so-called local speed patterns, as our features, which are input into the linear < Final Year Projects 2016 > SVM classifier to determine whether the given face is fake or not.
Video
View Demo
Including Packages
Our Specialization
Support Service
Statistical Report
satisfied customers
3,589
Freelance projects
983
sales on Site
11,021
developers
175+
Additional Information
| Domains | |
|---|---|
| Programming Language |
Would you like to submit yours?
There are no reviews yet