Perspective Transformation for 2D Images
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Geometric correction of captured images can be achieved through 2D image perspective transformation and spatial transformation. Perspective transformation adjusts the viewing angle and scale of images to better align with real-world visual perspectives, typically implemented using homography matrices that map source points to destination points through projective geometry. Spatial transformation converts images from one coordinate system to another, facilitating better understanding and analysis of image structure and content using interpolation methods like bilinear or bicubic interpolation for smooth transitions. These techniques employ key functions such as OpenCV's getPerspectiveTransform() and warpPerspective() to perform precise corrections and modifications, ensuring image accuracy and reliability by maintaining geometric consistency across transformations.
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