Face Detection in Java

Learn how to use one of the most up-to-date face detection algorithms used by Facebook and Twitter
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230 students enrolled
Instructed by Holczer Balazs IT & Software / Other
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  • 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
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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)

What 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.

Curriculum

Section 1: Introduction
Introduction
Preview
01:10
Face detection theory
Preview
07:21
Installing OpenCV
Preview
03:08
Section 2: Face Detection Application
Setting up the GUI
08:04
GUI - loading images
03:49
Cascade classifier
15:02
Showing detected faces
02:54
Cascade classifier parameters
05:27
Tuning the parameters
03:36
Section 3: Webcam Application
Webcam application overview
00:39
Webcam application GUI
04:14
Webcam face detection
04:46
Section 4: Source Code
Source code
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Instructor Biography

Holczer Balazs, Software Engineer

Hi!

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.

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