基于特征匹配的非连续镜面物体三维测量

Three-Dimensional Measurement of Discontinuous Specular Object Based on Feature Matching

提出了一种基于特征匹配的非连续镜面物体三维(3D)测量方法,在保证测量精度的同时避免了不连续物面之间的积分错误问题。首先,采用图像分割方法和立体偏折术,将非连续镜面物体分割为若干个连续物面,并通过梯度积分独立计算各连续物面的3D形貌。然后,利用双目视觉技术计算连续区域内特征点的绝对空间坐标,精确定位不连续物面之间的相对位置关系。同时,提出了一种极线约束与特征描述子相结合的特征匹配方法,克服了无纹理镜面物体误匹配率高的问题。最后,结合各连续物面的形貌和空间位置重建非连续镜面物体的3D形貌。实验结果表明,本方法可以获得较好的无纹理匹配结果,且能有效实现非连续镜面物体的高精度测量。

This paper presents a three-dimensional(3D)measurement method for discontinuous specular objects based on feature matching,which can not only avoid the integration errors between discontinuous surfaces,but ensure the high accuracy.First,the image segmentation method and stereo deflectometry technique are applied to separate the discontinuous specular object into several continuous surfaces and calculate the 3D shape of each area independently by slope integration.Then,the binocular vision technology is utilized to obtain the absolute spatial coordinates of the feature points to accurately evaluate the relative positions between continuous surfaces.Meanwhile,a feature matching method combining epipolar constraint and feature descriptor is proposed to overcome the problem of poor matching rate of non-texture specular objects.Finally,the 3D shape of the measured object is reconstructed by combing the topography and absolute spatial position of each surface.Experimental results show that the method can obtain better results without texture matching and can achieve high precision measurement of discontinuous specular object.