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Face Recognition Training Overview
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
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.
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
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.
Live classes
Join a scheduled class with a live instructor and other delegates.
Interactive
Engage in activities, and communicate with your trainer and peers.
Global Pool of the Best Trainers
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
Expertise
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
Global Reach
With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
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.
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 the United States 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 the United States starts from $3195
The Knowledge Academy is the Leading global training provider for Face Recognition Training.
Please see our Face and Speech Recognition courses available in the United States
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Resources are included for a comprehensive learning experience.
"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"
Joshua Davies, Thames Water
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