Datasets
Code
This is the Real-time generic face tracking in the wild with CUDA (MMSys 2014) written by Shiyang Cheng and Akshay Asthana. It is a real-time system that performs 66-landmarks face tracking along with 3D head pose estimation. We use a hybrid CPU-GPU implementation of Discriminative Response Map Fitting (DRMF) algorithm in this system, which are capable of achieving real-time performance at 30 to 45 FPS on ordinary consumer-grade computers.
The code requires a NVIDIA graphics card with least 2.0 compute capability, and CUDA Toolkit 5.0 or above should be installed in the system.
FACE TRACKER Download (Linux version)
Contact:
Shiyang Cheng
shiyang.cheng11@imperial.ac.uk
Intelligent Behaviour Understanding Group (iBUG)
References:
[1] S. Cheng, A. Asthana, S. Zafeiriou, J. Shen and M. Pantic. Real-Time Generic Face Tracking in the Wild with CUDA [pdf]. MMSys 2014.
[2] A. Asthana, S. Zafeiriou, S. Cheng and M. Pantic. Robust Discriminative Response Map Fitting with Constrained Local Models [pdf]. CVPR 2013.