Algorithm for Computing Cross Intersection Center Points with Sub-Pixel Precision

This algorithm calculates the center position of cross-shaped markers with sub-pixel accuracy, commonly used in 3D reconstruction where markers are placed on object surfaces. The implementation typically involves image processing techniques, pattern recognition, and centroid calculation methods.

Circular Object Counting

Detect circular shapes in grayscale images and resolve their center positions and radii using gradient-based Circular Hough Transform implementation. The function CircularHough_Grd processes gradient information rather than raw pixel values, making it suitable for overlapping object detection.