Classic Vision

Classic vision refers to traditional methods of understanding and processing visual information, emphasizing fundamental principles like form, color, and movement, often using established models or frameworks. It involves analyzing images based on recognized patterns, edges, and features to interpret scenes and objects. Classic vision systems rely on rule-based algorithms and handcrafted features, serving as a foundation for early computer vision efforts before the rise of deep learning. This approach focuses on explicit programming and predefined criteria to enable machines to recognize and interpret visual data, laying the groundwork for more advanced, automated visual understanding technologies.