Chapter 2

Traditional Computer Vision

Before deep learning, computer vision meant engineering features manually — color histograms, texture descriptors, edge detectors — and feeding them to classical models. This chapter builds a working vocabulary of those features, explains which models they pair with, and assesses why this approach has a ceiling.

• 2. Feature Engineering→
• 3. Traditional Models for Computer Vision→