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

A thorough course on facial recognition that includes excerpts from real-world projects and a detailed tutorial for each stage. Before the technical discussion and demonstration are fully described, the results output are explained first. The entire course follows a straightforward, well-paced format with thorough audio and visual aids. Lessons cover live and non-live face identification with scenarios for several application types (mobile, online, desktop, and cloud), libraries integration, introduction to desktop user interface, and image filters.

You'll learn:

• Setting up a project and adding external libraries to Visual Studio

• The fundamentals of using the Accord and Aforge libraries for object detection

• Using the Accord and Aforge libraries to apply different picture filters

• How to use .NET/C# to identify distinct faces and shapes

• Find the attached camera and snap a photo using .NET/C#

• Verify the required passport photo's quality.

• Validation and detection of backgrounds

• Design of the user interface for desktop applications

• How to make code reusable by packaging it as a class library

Recognizing the different applications of the learning objectives for desktop applications, web solutions, and service-oriented architecture in cloud or on-premises settings

Although facial detection and recognition are the main goals of this course, you can utilize the knowledge to create and build various kinds of object/shape detection.