Material Detail

This educational resource provides a comprehensive introduction to the theory and applications of computer vision, designed for students preparing for university-level studies in artificial intelligence and engineering. The content covers foundational topics such as image classification, object detection, semantic segmentation, optical character recognition, and 3D vision, supported by intuitive explanations and simplified algorithms. It also explores advanced techniques like convolutional neural networks (CNNs), feature detection (SIFT, SURF, ORB), and Histogram of Oriented Gradients (HOG). Real-world applications are illustrated across diverse domains—including augmented reality, retail analytics, wildlife conservation, and precision agriculture—making this an ideal open-access teaching and learning tool. Developed by Prep4Uni.online, this resource aims to enhance conceptual clarity while equipping learners with a practical understanding of visual computing.

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