Abstract
This paper proposes a visualization method for inspecting the manufacturing defects of products. The standardization of the inspection task and elimination of re-manufacturing are the main problems in the production of various kinds of products in small quantities. The proposed method visualizes manufacturing defects by superimposing a 3D-CAD model on a monocular image using AR(augmented reality) technology. Industrial products have several straight lines and little texture. Therefore, this method uses edges to estimate the six degrees of freedom (6DoF; rotational and translational) object pose. Users need partial manipulation to realize coarse-to-fine pose estimation accurately and easily. Moreover, manufacturing defects are detected and visualized by robust registration based on the least median of squares (LMedS) method. The advantages of the proposed method are as follows: 1) It needs only one monocular camera and a CAD model for inspection. 2) It does not need data acquisition for learning or the conditional settings of the environment in advance. This method enables novices to inspect products on-site efficiently. We demonstrate the effectiveness of the proposed method by creating an original dataset based on a public dataset.
