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README.md

libfacedetection

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.

Comparison on Windows

Method Time FPS Misc
OpenCV 21.2ms 47.2 Yaw angle: -40 to 40 degrees. Classifier: haarcascade_frontalface_alt.xml
frontal 3.6ms 277.8 Yaw angle: -60 to 60 degrees
multiview 8.8ms 113.6 Yaw angle: -90 to 90 degrees
multiview_reinforce 13.2ms 75.8 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 the four methods.

Comparison on iPhone

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.

Comparison on ARM

Method Time FPS Misc
frontal 37.6ms 26.6 Yaw angle: -60 to 60 degrees
multiview 107.6ms 9.3 Yaw angle: -90 to 90 degrees
multiview_reinforce 174.8ms 5.7 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.

Evaluation

FDDB: http://vis-www.cs.umass.edu/fddb/index.html

Evaluation on FDDB

  • 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.

Tip

  • Do NOT use the functions in multiple threads. The memory used in the functions is not protected according to multiple threads.

Author

Contributors

  • Shengyin Wu, Shenzhen University, China
  • Dong Xu, Shenzhen University, China

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A binary library for face detection in images. You can use it free of charge with any purpose. expand collapse
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