It is an increasingly important topic to reconstruct 3D shape from images by structured light vision. However

their practical applications are mainly limited to low resolution

texture and sensitivity of environment illumination. This paper proposes a new color coded structured light technique for robustly reconstructing shapes from a single image. This technique works by projecting a pattern based on De Bruijn stripes with white gaps. The correspondence problem is solved using a color classification algorithm. The statistical cluster parameters of the captured image are adopted so that it is adaptive to different scenes and contexts. In this paper

the stripe boundary is located accurately by local a searching method. Additionally

a scheme is presented to achieve dense shape reconstruction by shifting the same pattern. Practical experimental results are provided to demonstrate the performance of the proposed method.