Abstract
How to achieve high coding density with a small coding window by using a few coding elements is an interesting and challenging topic in the research domain of structured light techniques (SLT). This paper designed a high-density coding pattern in SLT and a corresponding subpixel feature detection algorithm was proposed. The pattern primitives were designed as checkerboard blocks with a simple embedded geometrical shape - L. Two different types of features are involved to guarantee high coding density. One is checkerboard grid points, which were taken as the main features (MFs) and the other is L shape feature points, which were taken as the auxiliary features (AFs). Specially-designed templates were utilized to locate MFs and a robust feature detecting method based on K-means clustering and Shi-Tomasi algorithm were utilized to locate the AFs accurately. With both MFs and AFs, the density of reconstructed point clouds can be increased by threefold.
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