Initial commit

Author: DoubangoTelecom

.gitignore

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+# Prerequisites
+*.d
+
+# Compiled Object files
+*.slo
+*.lo
+*.o
+*.obj
+
+# Precompiled Headers
+*.gch
+*.pch
+
+# Compiled Dynamic libraries
+*.so
+*.dylib
+*.dll
+
+# Fortran module files
+*.mod
+*.smod
+
+# Compiled Static libraries
+*.lai
+*.la
+*.a
+*.lib
+
+# Executables
+*.exe
+*.out
+*.app
+/docs/*.odt#

README.md

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+ - Online web demo at https://www.doubango.org/webapps/face-liveness/
+ - Full documentation for the SDK at https://www.doubango.org/SDKs/face-liveness/docs/
+ - Supported languages (API): **C++**, **C#**, **Java** and **Python**
+ - Open source Computer Vision Library: https://github.com/DoubangoTelecom/compv
+<hr />
+
+_**Question:**_ Which one of these next 3 pictures is genuine?
+
+| Merkel | Trudeau | Ardern |
+|---|---|---|
+| ![alt text](https://www.doubango.org/SDKs/face-liveness/docs/_images/spoof/cropped/20210331_202952.jpg "Merkel") | ![alt text](https://www.doubango.org/SDKs/face-liveness/docs/_images/spoof/cropped/20210331_203403.jpg "Trudeau") | ![alt text](https://www.doubango.org/SDKs/face-liveness/docs/_images/spoof/cropped/20210331_204408.jpg "Ardern") |
+
+_**Response:**_ **None. They are all spoofs.**
+
+The original images are from [wikimedia](https://upload.wikimedia.org/) and can be found [here](https://upload.wikimedia.org/wikipedia/commons/0/0f/Angela_Merkel_2019_cropped.jpg), [here](https://upload.wikimedia.org/wikipedia/commons/9/98/Prime_Minister_Trudeau_-_2020_(cropped).jpg) and [here](https://upload.wikimedia.org/wikipedia/commons/b/b6/New_Zealand_Prime_Minister_Jacinda_Ardern_in_2018.jpg). We recaptured the original images using a **Galaxy S10+ with 4K resolution** on an **iMac with 4K retina display**. Then, we cropped the images. The entire images can be found [here](https://www.doubango.org/SDKs/face-liveness/docs/_images/spoof/20210331_202952.jpg), [here](https://www.doubango.org/SDKs/face-liveness/docs/_images/spoof/20210331_203403.jpg) and [here](https://www.doubango.org/SDKs/face-liveness/docs/_images/spoof/20210331_204408.jpg).
+
+These kind of high resolution (quality) Print-Attacks are hard to detect and most liveness detectors would fail the test. 
+Our passive (frictionless) face liveness detector uses **SOTA (State Of The Art)** deep learning techniques to spot both **Print-Attack** and **Replay-Attack**. You can freely test our implementation with your own images at https://www.doubango.org/webapps/face-liveness/
+
+We're working to package and release the source code of the SDK. This document will be updated to include the API reference and a Getting Started guide.
+
+The next [video](https://youtu.be/4Z8VRTS8WrA) ([https://youtu.be/4Z8VRTS8WrA](https://youtu.be/4Z8VRTS8WrA)) shows the liveness detector on **Replay-Attack**.<br />
+[![Replay-Attack on Passive Face Liveness detector (anti-spoofing)](docs/images/youtube/Replay-Attack_thumbnail-0.jpg)](https://www.youtube.com/watch?v=4Z8VRTS8WrA)
+<hr />
+