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Notes for CMSC733 Classical and Deep Learning Approaches for Geometric Computer Vision taught by Prof. Yiannis Aloimonos.
Convolution and Correlation
Edge Detection
Two ways to detect edges:
- Difference operators
- Models
Image Gradients
- Angle is given by \(\displaystyle \theta = \arctan(\frac{df}{dy}, \frac{df}{dx})\)
- Edge strength is given by \(\displaystyle \left\Vert (\frac{df}{dx}, \frac{df}{dy}) \right\Vert\)