Features:

• Face recognition solution, including face detection (using 6 keypoints: left eye, right eye, nose, mouth, left ear, right ear), face alignment, face normalization, face feature extraction and face search;

• It recognizes faces quite accurately (up to 99.5% on LFW dataset);

• Age recognition;

• Gender recognition;

• Emotion recognition;

• Head pose estimation;

• Face mesh keypoints detection;

• It works offline, in real time;

• It includes a demo scene with an example of face search and recognition on a photo, a video, a video from a web-camera;

• Simple interface, low learning cost, can be applied to actual projects immediately, especially suitable for face attendance or face login authentication.

Code Modules:

UFRS (Runtime)

Number of Blueprints: 0

Number of C++ Classes: 6

Network Replicated: No

Supported Development Platforms: Windows

Supported Target Build Platforms: Windows

Documentation Link

Example Project

Stendhal Syndrome Studio

Stendhal Syndrome Studio

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