Course information

Face Recognition Training Course Outline

Module 1: Introduction to Face Recognition and Face Detection

  • What is Face Recognition?
  • Face Recognition Processing
  • Analysis in Face Subspaces

Module 2: Overview of Face Detection

  • Face Detection
  • Appearance-Based and Learning Based Approaches
  • Pre-Processing

Module 3: Modelling Facial Shape and Appearance

  • Statistical Models of Appearance
    • Statistical Shape Models
    • Face Shape Variation
    • Statistical Models of Texture

Module 4: Overview of Parametric Face Modelling and Tracking

  • Parametric Face Modelling
  • Model-Based Trackers: First-Frame Models or Statistical Models

Module 5: Illumination Modelling for Face Recognition

  • Using PCA for Generating Linear Lighting Models
  • Harmonic Reflectances

Module 6: Facial Skin Colour Modelling

  • Skin Colour Models
    • Single Images
    • Image Sequences

Module 7: Face Recognition in Subspaces

  • Face Space and its Dimensionality
  • Image Space Versus Face Space
  • Linear Subspaces
  • Recognition with Sets

Module 8: Face Tracking and Recognition from Video

  • Overview of Face Tracking and Recognition from Video
  • Time Series State Space Model for Recognition

Module 9: Face Recognition Across Pose and Illumination

  • Introduction to Face Recognition Across Pose and Illumination
    • Multiview Face Recognition and Face Recognition Across Pose​
    • Illumination Invariant Face Recognition

Module 10: Overview of Morphable Models

  • Morphable Model for Face Analysis
  • 3D Morphable Model Construction
  • Image Analysis with a 3D Morphable Model

Module 11: Facial Expression Analysis

  • Facial Expression Analysis
  • Basic Structure of Facial Expression Analysis Systems
  • Face Detection Methods

Module 12: Face Synthesis and Face Databases

  • Introduction
  • Face Modelling
  • Face Relighting
  • Face Databases

Module 13: Face Recognition Evaluation Methods

  • Standard Performance Measures
  • Open-Set Identification
  • Verification
  • Closed-Set Identification

Module 14: Neural and Psychological Perspectives on Human Face Recognition

  • Psychological Aspects of Face Perception and Recognition
  • Facial Expressions, Movement, and Social Signals

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Who should attend this Face Recognition Training Course?

The Face Recognition Training is a comprehensive program designed to provide participants with the knowledge and skills needed to understand and implement face recognition technology. The course is useful for the following professionals:

  • Computer Vision Engineers
  • Software Developers
  • Security and Surveillance Experts
  • Application Developers
  • Biometric System Developers
  • Application Developers
  • Privacy and Ethics Advocates

Prerequisites of the Face Recognition Training Course

There are no formal prerequisites for the Face Recognition Training. However, a basic understanding of facial recognition technology can be beneficial.

Face Recognition Training Course Overview

Face recognition is a type of technology used to identify or verify or an individual’s identity by using their face. Face recognition systems can recognise people in pictures, video, or in real-time. This Face Recognition Training course is designed to provide extensive knowledge of the technological workings of face recognition. Delegates will learn about face recognition processing, techniques for face detection and statistical learning methods.

Specific topics covered include how to align facial shape and texture with an input image, as well as illumination modelling for face recognition and facial skin colour modeling. In addition, delegates will learn how to address the problems of face tracking and recognition when working from a video sequence of images.

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What’s included in this Face Recognition Training Course

  • World-class Training Sessions from Experienced Instructors
  • Face Recognition Training Certificate
  • Digital Delegate Pack

Why choose us

Our Nicosia venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Nicosia is the capital city and the largest city in Cyprus. The city has a population of around 110,000 inhabitants and the metro area boats around 350,000 inhabitants. The University of Cyprus is a public coeducational university established in 1989. The university has around 7000 students in attendance. The university offers students study in a variety of areas such as humanities, applied sciences, social sciences, management, economics, engineering and medicine. The University of Nicosia was established in 1980 and has around 5000 students, the university also offers a variety of courses for students to study. The university became the first university in the world to accept bitcoin payment to pay tuition in 2013. 

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Address

The Classic Hotel
94 Rigenis Street
Nicosia
Cyprus
1513

T: +357 26030221

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Face Recognition Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Face Recognition Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Experience the most sought-after learning style with The Knowledge Academy's Face Recognition Training. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Face Recognition Training sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Face Recognition Training FAQs

Face Recognition Technology is a biometric method that uses facial features to identify or verify an individual’s identity. It captures, analyses, and compares facial patterns, allowing for seamless and contactless identification in various applications.
Face Recognition is primarily used for security, authentication, and surveillance purposes. Common applications include mobile device unlocking, airport security, law enforcement, time attendance systems, and personalised marketing.
Attending this training provides essential knowledge and practical skills in building, implementing, and optimising Face Recognition systems. It helps delegates understand the underlying technology, tools, and ethical considerations while enhancing their expertise in this fast-growing field.
There are no formal prerequisites for taking this Face Recognition Certification Training. However, a basic understanding of facial recognition technology can be beneficial for delegates.
This course is ideal for Data Scientists, AI Engineers, Machine Learning Enthusiasts, Software Developers, IT Professionals, and anyone interested in learning about Face Recognition technology and its applications.
Yes, 24/7 support is available throughout this Face Recognition Training. Delegates can access help for any technical issues, queries regarding course materials, or assistance with accessing the training platform at any time.
The Face Recognition Course includes access to study materials, practical exercises, datasets for hands-on learning, and expert-led training sessions. The Knowledge Academy also offers ongoing access to resources and a certificate upon completion.
The duration of this Face Recognition Training Course spans across 2 days. For self-paced courses, the duration may vary based on the delegate's schedule, allowing flexibility to complete the training at their own pace.
Once you register, you should receive your course confirmation details within 24-48 hours. These details will include information about the course schedule, login credentials, and any necessary pre-course materials.
Prior experience in Machine Learning is not strictly required, but it is beneficial. The course will cover fundamental concepts, making it accessible to delegates with a basic understanding of programming and AI.
Commonly used datasets include Labelled Faces in the Wild (LFW), the YouTube Faces Database, and the MegaFace dataset. These datasets provide a range of facial images used for training and evaluating Face Recognition models.
Completing this course can open career opportunities in roles such as Machine Learning Engineer, Computer Vision Specialist, AI Researcher, Software Developer, and Biometric Security Analyst, focusing on Face Recognition systems and applications.
This certification validates your skills in Face Recognition technology, boosts your credibility in the AI and Machine Learning job market, and helps you gain recognition as an expert in developing and deploying facial recognition systems.
You will learn how Face Recognition technology works, from image preprocessing to model building, training, and deployment. The course covers key algorithms, tools, and frameworks used in developing Face Recognition systems, along with ethical considerations.
Yes, self-paced training is available for those who prefer flexibility in their learning schedule. Delegates can access the course materials, including videos and exercises, and complete the training at their own convenience.
Yes, corporate training is available for teams and organisations looking to upskill their workforce in Face Recognition technology. Tailored training courses can be designed to meet specific business needs.
If you encounter issues accessing your Face Recognition Training Course, you should contact The Knowledge Academy's support team. They will help troubleshoot technical issues and provide alternative access to the course materials.
The course is designed for intermediate delegates with basic programming knowledge. It covers both foundational and advanced topics, allowing delegates to develop a comprehensive understanding of Face Recognition technology.
Yes, you will receive a training certification upon successfully completing the course. This Face Recognition Certification verifies your skills and knowledge in Face Recognition technology.
Face Recognition is highly accurate and often compares favourably with other biometric systems, such as fingerprint or iris recognition. However, accuracy can vary depending on factors like image quality, lighting, and algorithm sophistication.
The Knowledge Academy in Nicosia offers globally recognised courses, expert trainers, flexible learning formats (online, in-person, and self-paced), and 24/7 support. This Face Recognition Certification Course provides a comprehensive learning experience, preparing you for practical application in your career.
The training fees for Face Recognition Trainingin Nicosia starts from €2895
The Knowledge Academy is the Leading global training provider for Face Recognition Training.
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Face and Speech Recognition

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Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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