This is a binary library for face detection in images. The 32-bit and 64-bit dll files are provided.
examples/libfacedetect-example.cpp shows how to use the library.
| Method | Time | FPS | Misc |
|---|---|---|---|
| OpenCV | 21.2ms | 47.2 | Yaw angle: -40 to 40 degrees. Classifier: haarcascade_frontalface_alt.xml |
| frontal | 2.7ms | 370.4 | Yaw angle: -60 to 60 degrees |
| frontal-surveillance | 3.8ms | 263.2 | Yaw angle: -70 to 70 degrees |
| multiview | 6.6ms | 151.5 | Yaw angle: -90 to 90 degrees |
| multiview_reinforce | 9.5ms | 105.3 | Yaw angle: -90 to 90 degrees |
- 640x480 image size (VGA), scale=1.2, minimal window size = 48
- Intel(R) Core(TM) i7-4770 CPU @ 3.4GHz
- Multi-core parallelization is enabled for these five methods.
| Method | Time (iPhoneSE) | FPS (iPhoneSE) | Time (iPhone5S) | FPS (iPhone5S) | Misc |
|---|---|---|---|---|---|
| frontal | 14.9ms | 67.1 | 23.8 | 42.0 | Yaw angle: -60 to 60 degrees |
| multiview | 47.3ms | 21.1 | 75.1 | 13.3 | Yaw angle: -90 to 90 degrees |
| multiview_reinforce | 83.2ms | 12.0 | 132.4 | 7.6 | Yaw angle: -90 to 90 degrees |
- 640x480 image size (VGA), scale=1.2, minimal window size = 48
- Multi-core parallelization is disabled.
- C programming language, and no SIMD instruction is used.
- (+) The performance data on iPhone is obtained using a previous version. Currrent version can gain ~40% speed improvement.
| Method | Time | FPS | Misc |
|---|---|---|---|
| frontal | 21.5ms | 46.5 | Yaw angle: -60 to 60 degrees |
| frontal-surveillance | 36.5ms | 27.4 | Yaw angle: -70 to 70 degrees |
| multiview | 67.1ms | 14.9 | Yaw angle: -90 to 90 degrees |
| multiview_reinforce | 112.6ms | 8.9 | Yaw angle: -90 to 90 degrees |
- 640x480 image size (VGA), scale=1.2, minimal window size = 48
- NVIDIA TK1 "4-Plus-1" 2.32GHz ARM quad-core Cortex-A15 CPU
- Multi-core parallelization is disabled.
- C programming language, and no SIMD instruction is used.
The dll cannot run on ARM. The library should be recompiled from source code for ARM compatibility. If you need the source code, a commercial license is needed.
FDDB: http://vis-www.cs.umass.edu/fddb/index.html
- scale=1.08
- minimal window size = 16
- the heights of the face rectangles are scaled to 1.2 to fit the ground truth data in FDDB.
- Do NOT use the functions in multiple threads. The memory used in the functions is not protected according to multiple threads.
- Shiqi Yu [email protected] Computer Vision Institute, Shenzhen University, China
- Shengyin Wu, Shenzhen University, China
- Dong Xu, Shenzhen University, China
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