On Recognition of Three-Dimensional Objects Using Curvature Information
Keisuke Kubo, Teijiro Isokawa, Nobuyuki Matsui · 2015
A recognition system for three-dimensional objects is proposed in this paper. This system consists of line laser projectors and a web camera in order to collect depth and curvature information of objects, leading to a compact and cost-effective system compared to light coding-based systems such as Microsoft Kinect. Curvature information of objects can be obtained through calculation of Fourier components from deformed lines of laser beam that are projected onto the curves of objects. Self-Organizing Map is used for classification of objects for dealing with multidimensional data of Fourier components. Performances of the proposed system are explored through the recognition of toy blocks with the same size in two-dimensional image and with various curves.