combined_Fundamentals of Facial Recognition_study guide Flashcards
What is the primary function of face detection?
Face detection identifies the location of human faces within an image or video. It typically returns bounding box coordinates that outline the area where a face is present.
How does facial analysis go beyond basic face detection?
Facial analysis goes beyond simple location and examines specific facial features, such as eyes, nose, and lips. This data can be used to train machine learning models to return other information.
What is the key difference between face analysis and facial recognition?
Face analysis examines the characteristics of a face, while facial recognition uses those characteristics to identify individuals. Facial recognition requires training a model with multiple images of a person to enable identification in new images.
Name three specific attributes that the Azure AI Face service can return about a detected face.
Azure AI Face service can return attributes such as the presence of accessories (like glasses or masks), the degree of blur, and head pose coordinates. It also returns quality for recognition scores, the level of noise in an image and whether it is over or underexposed.
Explain the concept of ‘Limited Access’ in the context of Azure AI Face service.
The ‘Limited Access’ policy means that while anyone can use the Face service for basic tasks, more advanced features like face verification and identification require an application to get access. This is to ensure the responsible use of AI technology.
What is the difference between the ‘Face’ resource and the ‘Azure AI services’ resource in Azure?
A ‘Face’ resource is specifically for the Azure AI Face service, allowing for separate tracking of utilization and costs. An ‘Azure AI services’ resource is a more general resource that combines Azure AI Face with other services for simplified administration.
What image formats are supported by Azure AI Face service?
The supported image formats for Azure AI Face service are JPEG, PNG, GIF, and BMP. It is also important that images have a file size of 6 MB or smaller, and faces must be within a specific pixel range.
How does occlusion affect the accuracy of face detection?
Occlusion, where objects block part of the face, can impair the accuracy of face detection. It can make it more difficult for the algorithm to correctly identify and analyze the face.
Give an example of how facial recognition can be used in a security application.
Facial recognition can be used in building security systems to allow only authorized personnel to enter certain areas by comparing scanned faces to a database of enrolled individuals. This provides an efficient and secure means of access control.
Besides security, give another example of where face detection, analysis, or recognition can be applied.
Face detection, analysis, or recognition can be used in social media platforms to automatically tag friends in photographs. This enhances the user experience and promotes interaction.
