Enhanced_Geometric_Transformations_Presentation.pptx

Enhanced_Geometric_Transformations_Presentation in computer vision

1. Geometric Transformations in Computer Vision Explore key geometric transformations used in computer vision: translation, rotation, scaling, affine, and perspective transformations. Used in image alignment, object tracking, and camera calibration. [Diagram Placeholder]

2. Translation Translation shifts an image in the x or y direction. Example: Moving an object 50 pixels to the right and 30 pixels down. [Diagram Placeholder]

3. Rotation Rotation turns an image around a point. Example: Rotating an image 90 degrees clockwise around its center. [Diagram Placeholder]

4. Scaling Scaling changes the size of an image. Example: Doubling the size of an image by scaling factors of 2. [Diagram Placeholder]

5. Affine Transformation Affine transformation preserves lines and angles. Example: Shearing an image to simulate slanting. [Diagram Placeholder]

6. Perspective Transformation Perspective transformation simulates depth and viewpoint changes. Example: Transforming an image to appear as if viewed from an angle. [Diagram Placeholder]

7. Applications Used in image registration, object tracking, and camera calibration. Example: Aligning satellite images from different times. [Diagram Placeholder]