Inverse Perspective Transformation Algorithm

Inverse perspective transformation is a computer vision algorithm used to eliminate perspective effects and restore the original shape of an image. The fundamental principle of this algorithm involves first generating a perspective image, then performing coordinate system transformation between the image coordinates and world coordinates to obtain an image with perspective effects removed. The implementation typically requires calculating a homography matrix that maps points from the perspective image to the destination plane. In practical code implementation, this often involves using functions like cv2.warpPerspective() in OpenCV with a pre-calculated transformation matrix. Finally, the image processed through inverse perspective transformation can be displayed to reveal the true shape and details of the original scene. This algorithm finds extensive applications in various fields including computer graphics, computer vision, and augmented reality systems, particularly useful for tasks like bird's-eye view generation and document rectification.