Sub-Pixel Coded Structured Light Stripe Boundary Location Using Weighted Centroid Method

Accurate stripe boundary location is crucial for stripe coded structured light based 3D reconstruction. Intersecting point method might be the most accurate for stripe boundary location. But this method requires project a group of normal and a group of inverse patterns, and thus can not be used in some time- or resource-constrained applications. In this paper, we propose an improved sub-pixel location scheme based on weighted centroid algorithm. In the proposed scheme, a green slit of a pixel width is first added between every stripe to avoid false detection and omitted detection. Then, universal gravity-based edge detection and weighted centroid method are utilized for sub-pixel location. Compared with intersecting point method, the proposed scheme achieves comparable detection accuracy with only half number of the projected patterns.