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Computer Vision

Computer Vision explainers and exam-revision guides from Full Marks Press.

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Facial recognition technology: technical concepts and mark scheme tips
Computer Vision

Facial recognition technology: technical concepts and mark scheme tips

Facial recognition technology is a computer vision process that identifies or verifies a person from a digital image or video frame. It works by detecting a

Feature extraction methods: SIFT, SURF and ORB compared
Computer Vision

Feature extraction methods: SIFT, SURF and ORB compared

SIFT, SURF and ORB are computer vision algorithms used to detect and describe local features in images so they can be matched across different viewpoints. SI

How does edge detection work in computer vision?
Computer Vision

How does edge detection work in computer vision?

Edge detection works by calculating the mathematical gradient of an image to identify regions where pixel intensity changes sharply. Computer vision algorith

How to apply computer vision algorithms to real-world exam scenarios
Computer Vision

How to apply computer vision algorithms to real-world exam scenarios

To apply computer vision algorithms to real-world exam scenarios, you must first identify the specific visual task and then select an appropriate neural netw

Image segmentation techniques: a revision guide for computer science students
Computer Vision

Image segmentation techniques: a revision guide for computer science students

Image segmentation is the computer vision process of partitioning a digital image into multiple distinct regions by grouping pixels that share similar attrib

What is object detection and how do you explain it clearly?
Computer Vision

What is object detection and how do you explain it clearly?

Object detection is a computer vision technique that locates and classifies multiple objects within a single image or video frame. It goes beyond simple imag

Why is data augmentation important for computer vision tasks?
Computer Vision

Why is data augmentation important for computer vision tasks?

Data augmentation is important for computer vision tasks because it artificially expands the size and diversity of a training dataset without the cost of col

Frequently asked questions

What does the Computer Vision category cover?

It collects exam-focused Computer Vision explainers and revision guides from Full Marks Press, written for university students.

Who writes these Computer Vision guides?

Every article is written by Sotiris Spyrou, published by Full Marks Press.

Are these guides free?

Yes. Every article is free to read, and you can request a free review copy of the related guide at https://fullmarkspress.com/free.