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corner-detection-and-least-squares-optimization's Introduction

Corner Detection and Least Squares Optimization

The objective was to create a 300x300 square with a white irregular quadrilateral in it, rotate and translate the image about the original center and detect corners in the two images. After this, the rotation and translation in the second image was to be recovered so that one can define the original image again using the the transformed second image using least squares optimization.

Detected corners in the original image are-

Detected corners in the transformed image are-

The position of the corners detected in the original image are-

133.84070397 176.2096639
131.0139748 108.62686005
171.69805636 169.8760343
177.44726487 129.28744175

The recovered position from the corners detected in the transformed image are-

125 179
136 115
169 165
184 125

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