Happytime Face Detection 2.0



Publisher Description



Happytime face detection can accurately detect human faces, with fewer false detection, high accuracy. It can be used for still pictures and video to detect faces. It can simultaneously detect multiple faces, can detect different color face, can detect faces in a complex background. The algorithm code don't rely oepncv library (The application only use opencv read image file), written in C, can easily be ported.
Key features:
Low false detection, high accuracy
Can simultaneously detect multiple faces
Can detect different color face
Can detect faces in a complex background
Written in C, can easily be ported
Algorithm principle:
Based on MB-LBP(multi block local binary pattern) features lookup table type weak classifiers Real AdaBoost face detection algorithm. LBP (Local Binary Pattern) features proposed by the Ojala in 1994, and applied to the texture classification problem. MB-LBP feature is an extension of LBP, uses image blocks instead of the original LBP features which a single pixel as the basic unit. MB-LBP can reduce the image noise when calculate LBP features, if adopt integral image technique, it is possible to be obtained MBLBP features in constant computation time.
AdaBoost is a boosting learning methods, AdaBoost training process using the threshold as a feature of weak classifiers output, this weak classifiers has limited ability to divide sample space. Based on Real AdaBoost algorithm, Wu proposed a lookup table type weak classifiers continuous AdaBoost face detection algorithm, to get a good face detection results.
Algorithm evaluation:
MB-LBP lookup table type weak classifiers Real AdaBoost face detection algorithm and other published methods were compared, the results shown in figure, it can be seen from the figure, MB-LBP lookup table type weak classifiers Real AdaBoost face detection algorithm exceed other methods.


About Happytime Face Detection

Happytime Face Detection is a free software published in the Video Tools list of programs, part of Audio & Multimedia.

This Video Tools program is available in English. It was last updated on 27 March, 2024. Happytime Face Detection is compatible with the following operating systems: Windows.

The company that develops Happytime Face Detection is Happytimesoft. The latest version released by its developer is 2.0. This version was rated by 1 users of our site and has an average rating of 5.0.

The download we have available for Happytime Face Detection has a file size of 6.29 MB. Just click the green Download button above to start the downloading process. The program is listed on our website since 2013-10-20 and was downloaded 73 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded software with your antivirus. Your antivirus may detect the Happytime Face Detection as malware if the download link is broken.

How to install Happytime Face Detection on your Windows device:

  • Click on the Download button on our website. This will start the download from the website of the developer.
  • Once the Happytime Face Detection is downloaded click on it to start the setup process (assuming you are on a desktop computer).
  • When the installation is finished you should be able to see and run the program.



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Users Rating:  
  5.0/5     1
Downloads: 73
Updated At: 2024-03-27
Publisher: Happytimesoft
Operating System: Windows
License Type: Free