Master Facial Recognition in .NET/C# using Aforge/Accord

A succinct course on facial recognition with a step-by-step guide for every action and extracts from practical projects. Results output are first explained before the technical discussion and demo are thoroughly explained. A simple and well-paced approach is used across the course with detailed audio and visual presentation. Lessons include Libraries Integration, Introduction to Desktop UI, Images filters, and live and non-live face detection with scenarios for various application types (mobile, web, desktop, and cloud).

You will learn:

1. Project setup and inclusion of external libraries in Visual Studio

2. The basics of object detection with Accord and Aforge libraries

3. The use of various image filters with Accord and Aforge libraries

4. How to detect different shapes and particular faces using .NET/C#

5. Detect the connected camera and take a picture from .NET/C#

6. Validate the quality of the required passport photograph

7. Background detection and validation

8. Desktop application user interface design

9. How to package code as a class library for reusability purposes

10. Insight into different use cases of the learning outcomes for desktop applications, web solutions, and service-oriented architecture in the cloud or on-prem environment

The primary objectives of this course are facial detection and recognition, however, you can use the knowledge to design and develop other types of object/shape detection.