Computer Vision Basics

The University at Buffalo introduces computer vision through the formation and interpretation of images. Light and color lead into low-, mid- and high-level processing, with a mathematics module connecting those ideas. This is a conceptual foundation for later image-classification or detection work.

What you will learn

• Explain how light and color affect image formation.
• Distinguish different levels of visual processing.
• Relate mathematical tools to computer-vision problems.

Who this suits

Intermediate learners with programming experience, linear algebra, calculus, probability and familiarity with 3D coordinates and transformations.

Before you enroll

Preview the expected mathematics and coding workload. Understanding an image-processing concept is different from having a trained model ready for deployment.

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Put it into practice

Photograph the same object under two lighting conditions. Explain which visual properties change and which features could remain useful for a recognition task.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

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