Three-dimensional structure measurement of diamond crowns based on stereo vision

Abstract

We present an effective method for reconstructing and measuring the three-dimensional (3D) structures of diamond crowns based on stereo vision. To reach high measurement accuracy, the influences of 3D measurement errors are analyzed in detail. Then, a method to accurately extract the linear features of diamond edges based on virtual motion control is described. Depending on the obtained linear features, the 3D structure of a diamond crown can be reconstructed with least squares error. The validity of the proposed method is verified by experiments. The results show that the proposed method can be used to measure the 3D structures of diamond crowns with satisfactory accuracy and efficiency, and it also can be used to extract linear features and measure other similar artificial objects that can be represented by line segments.