The poorly optimized face detection deteriorates the end-user experience, which results in lagging and frequent face losses. With fast and stable face detection optimized for different conditions, e.g. low lighting, head angles or face occlusion, the end-user experience runs smoothly. The application saves the computational resources and deliveries better speed and performance.
By implementing the neural network-based face detection approach in Face AR SDK release 0.23.0, we improved the speed of face detection and achieved wide angles support with our 3D face tracking software.
As a result, the quality of the face AR experiences significantly improves. The video estimates the difference showing the 3D mesh applied in real-time on multiple faces.
Details:
https://blog.banuba.com/facear-0.23.0...
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