基于彩色伪随机编码结构光的三维重建方法

Three-dimensional reconstruction method based on color pseudo-random coded structured light

为增强三维场景中物体的表面信息,提出一种基于彩色方格伪随机编码结构光的三维重建方法。通过在目标物体上投影彩色结构光图案,对相机采集的图像进行角点提取,利用FREAK特征描述子描述角点。在极线约束条件下,求取汉明距离最小值以实现特征匹配,并依据三角测量原理获得物体的三维信息,进而完成三维重建。结果表明,在只投影一幅结构光图案的前提下,对平面物体进行三维重建的均方根误差为0.36 mm。实验证明所提方法有较高精度,可应用于非彩色物体的三维重建。

This paper presents a three-dimensional reconstruction method based on color square pseudo-random coded structured light and designed to enhance the surface information of scene. The study involves projecting a color structured light pattern on the then extracting the comer points of the image captured by the camera; describing the FREAK feature description; matching the feature points by finding the minimum distance under the epipolar constraint; and obtaining three-dimensional information of the object using the principle of triangulation and ultimately completing the three-dimensional reconstruction. The results indicate that projecting only one structural light patter means a 0. 36 mm RMSE for of the planar objects. The experiment proves that the proposed method with could work better for three-dimensional reconstruction of non-colored objects.