Coder Social home page Coder Social logo

face-detection's Introduction

Face Detection using Viola-Jones detector

To use the application you should have GML AdaBoost Toolbox[1] installed on your machine. The main module is function main which is used to start the application.

The first thing to do before running the application is to adjust the line:

addpath('I:\Work\Face Detection\Project\GML_AdaBoost_Matlab_Toolbox_0.3');

with your GML AdaBoost installation path.

The application has two modes: "training" and "running". The first one allows you to train your own classifiers using the set of positive (images with faces only) and negative (images that do not contain face) samples.

For this application I used MIT set of training samples[2]. Positive samples should be in "mit\train\face" directory, while the negative ones are expected in "mit\train\non-face".

When the training is finished you'll have 4 new files: "posFeatures.mat", "negFeatures.mat", "learners.mat" and "weights.mat". Once the system is trained, you can run the application on your own input sample.

To do that, just edit the line:

  testimg = imread('testImgs\profile.jpg');

with your testing image. Now you should see your face detected. It's important to note that the detection success rate directly depends on the amount of training samples. The more samples the system is trained with, the better the detection ratio and lower number of false positives.

And one final note, the application displayes few face candidates (using the green rectangle). You should merge them together if you want to get the one that's the most precise.


[1] http://graphics.cs.msu.ru/ru/science/research/machinelearning/adaboosttoolbox

[2] http://cbcl.mit.edu/projects/cbcl/software-datasets/FaceData2.html

face-detection's People

Contributors

manca avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.