Face Detection in Java

Learn how to use one of the most up-to-date face detection algorithms used by Facebook and Twitter
3.9 (14 ratings)
Instead of using a simple lifetime average, Udemy calculates a
course's star rating by considering a number of different factors
such as the number of ratings, the age of ratings, and the
likelihood of fraudulent ratings.
281 students enrolled
Instructed by Holczer Balazs IT & Software / Other
70% off
Take This Course
  • Lectures 14
  • Length 1 hour
  • Skill Level Intermediate Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
Wishlisted Wishlist

How taking a course works


Find online courses made by experts from around the world.


Take your courses with you and learn anywhere, anytime.


Learn and practice real-world skills and achieve your goals.

About This Course

Published 10/2015 English

Course Description

This course is about the fundamental concept of image recognition, focusing on face detection. These topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to crime investigation.

We will talk about the theoretical background for face recognition algorithm then we are going to implement these problems together.

The first chapter is about static face detection: at the end of the chapter we will be able to construct applications capable of detecting faces on static images or pictures. In the second chapter we will consider a real-time problem: how to be able to detect faces in real-time, for example on webcamera videos.

What are the requirements?

  • Basic Java

What am I going to get from this course?

  • Basic GUI programming
  • OpenCV library
  • Face detection (static and real-time)

Who is the target audience?

  • This course is meant for students who know basic Java and looking for some interesting topics in programming

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Introduction
Face detection theory
Installing OpenCV
Section 2: Face Detection Application
Setting up the GUI
GUI - loading images
Cascade classifier
Showing detected faces
Cascade classifier parameters
Tuning the parameters
Section 3: Webcam Application
Webcam application overview
Webcam application GUI
Webcam face detection
Section 4: Source Code
Source code
Get any of my courses for a discounted price

Students Who Viewed This Course Also Viewed

  • Loading
  • Loading
  • Loading

Instructor Biography

Holczer Balazs, Software Engineer


My name is Balazs Holczer. I am from Budapest, Hungary. I am qualified as a physicist and later on I decided to get a master degree in applied mathematics. At the moment I am working as a simulation engineer at a multinational company. I have been interested in algorithms and data structures and its implementations especially in Java since university. Later on I got acquainted with machine learning techniques, artificial intelligence, numerical methods and recipes such as solving differential equations, linear algebra, interpolation and extrapolation. These things may prove to be very very important in several fields: software engineering, research and development or investment banking. I have a special addiction to quantitative models such as the Black-Scholes model, or the Merton-model. Quantitative analysts use these algorithms and numerical techniques on daily basis so in my opinion these topics are definitely worth learning.

Take a look at my website and join my email list if you are interested in these topics!

Ready to start learning?
Take This Course