Develop Opencv based Facial recognition system using c#
3.8 (108 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
530 students enrolled

Develop Opencv based Facial recognition system using c#

This course is specially designed for face detection and recognition by capturing faces in real time and display result
3.8 (108 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
530 students enrolled
Created by Maria Khalid
Last updated 11/2017
English
Price: $99.99
30-Day Money-Back Guarantee
This course includes
  • 1.5 hours on-demand video
  • 5 articles
  • 7 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
  • Certificate of Completion
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What you'll learn
  • At the end of course student will able to develop complete facial recognition based applications
  • Camera initialization and capturing using opencv
  • Eigen Face Concept
  • Face Detection
  • Training Database by giving name to detected faces
  • Face Recognition and display name
  • Face Recognition SDK will be provided
  • Complete coding of detection and recognition will be provided
  • Student can use this sdk to create other projects also
Course content
Expand 21 lectures 01:36:00
+ Face Detection and Recognition
21 lectures 01:35:27
Introduction to openCv
01:16

Find opencv dll files in folder which you need to paste in bin -> debug folder.

for any further information  ask questions

Preview 03:30
what is Emgu cv image box and how to import in project
00:46

In this video lecture we have learn to visualize video in image box if you have any query let me know.

coding file for all yet done is attached in resources.

View camera Capture in image box
04:03

Find haarcascade_frontalface_default.xml file in resources and download it for implementation.

Haar cascade for Face Detection
01:15
Face Detection(Part 1)
10:01

Find complete program for face detection. Feel free for any queries

Face Detection(Part 2) Run and Test
02:11
Train Database from detected faces(Part 1: show detected image and resize it)
05:40
Train Database from detected faces(Part 2: save image with name setup)
06:22
Train Database from detected faces(Part 3: save image with name coding)
09:04
Train Database from detected faces(Part 4: continuation with testing and runnin)
09:24
in the last tutorial i have shown you how to train a face. now its your task to train faces of 10 different people with name and save in database. hope you get it. All the best and keep up good work. :)
Train multiple faces
2 questions
Face Recognition(Part1 creating module for face recognition)
07:25
Face Recognition(Part2 coding)
10:08
Eigen Faces
01:13

Find eigen recognizer file in resources. extract zip file and use class 

Face Recognition(Part3 Recognition using Eigen Faces)
10:00
Face Recognition(Part4: test and Run)
05:21
FaceRecognitionSDK
00:13

This is demo video.

Train faces in good light to get accurate results

Preview 01:26
Requirements
  • You should have window operating system
  • For coding visual studio is needed
Description

This course is designed in a way to learn opencv face recognition by real time implementation. Student can get concept and experience in building application by step by step implementation. coding files and all other resources will be provided to students so that along with learning they will also implement face detection and face recognition in c#. At the end of this course student will able to build facial recognition based industrial level application. Instead of paying thousand of dollar for these application you can develop your own applications in few dollars. Learning Opencv was never so easy before.

Who this course is for:
  • Any one have interest in learning opencv
  • Any one want to develop facial recognition based applications
  • Any one want to earn big from computer vision applications
  • code lovers