Face Detection in Java
3.7 (17 ratings)
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314 students enrolled
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Face Detection in Java

Learn how to use one of the most up-to-date face detection algorithms used by Facebook and Twitter
3.7 (17 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.
314 students enrolled
Created by Holczer Balazs
Last updated 2/2017
English
Current price: $10 Original price: $20 Discount: 50% off
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Includes:
  • 1 hour on-demand video
  • 2 Articles
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Basic GUI programming
  • OpenCV library
  • Face detection (static and real-time)
View Curriculum
Requirements
  • Basic Java
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.

Who is the target audience?
  • This course is meant for students who know basic Java and looking for some interesting topics in programming
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Curriculum For This Course
Expand All 14 Lectures Collapse All 14 Lectures 54:24
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Face Detection Application
6 Lectures 35:57

GUI - loading images
03:32

Cascade classifier
13:35

Showing detected faces
03:09

Cascade classifier parameters
05:07

Tuning the parameters
03:11
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Webcam Application
3 Lectures 08:54
Webcam application overview
00:39

Webcam application GUI
03:48

Webcam face detection
04:27
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Source Code
2 Lectures 00:03
Source code
00:00

Get any of my courses for a discounted price
00:02
About the Instructor
Holczer Balazs
4.4 Average rating
2,404 Reviews
24,869 Students
21 Courses
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.

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