An accessible walkthrough of template matching techniques in computer vision. Covers cross-correlation with zero-mean filtering, sum of squared differences (SSD), and normalized cross-correlation (NCC). Explains why naive cross-correlation fails by highlighting bright regions, how subtracting mean intensity fixes it, and how NCC handles varying lighting conditions. Compares the three methods on speed vs. accuracy vs. robustness trade-offs.
•3m watch time
Sort: