Fusion Method of Depth Images and Visual Images for Tire Inspection

In this paper, an alignment approach is proposed for a depth image and a visual image of a tire captured by a laser displacement sensor and a color camera respectively. While the global match usually misaligns the regular textures on a tire, the local match scheme proposed in this paper can exactly locate the logo textures on a tire. The result of the proposed method can be used for defect detection by 2D and 3D texture features. With 2D and 3D texture feature matching, the defect detection will be more accurate.