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

In 3D reconstruction applications, cross-shaped markers are frequently applied to object surfaces to facilitate identification and computation in subsequent processing stages. This algorithm specializes in determining the precise center position of these cross markers, achieving sub-pixel accuracy through advanced image processing techniques. The implementation typically involves preprocessing steps like Gaussian filtering for noise reduction, followed by edge detection algorithms (such as Canny or Sobel operators) to identify the cross pattern. The core calculation often utilizes weighted centroid methods or least-squares fitting approaches to determine the intersection point with enhanced precision. By accurately locating these marker centers, the algorithm provides crucial reference points that significantly improve the accuracy and reliability of subsequent reconstruction and analysis processes. Common implementations may include functions for pattern thresholding, morphological operations to refine marker shapes, and interpolation techniques for sub-pixel coordinate calculation.