Host: The Institute of Image Electronics Engineers of Japan
Co-host: Toho University, Tokyo Denki University, Chiba Institute of Technology, Information Processing Society of Japan
Although a lot of research has been carried out on depth information acquisition and feature extraction from 3- D pattern, matching measures concerning 3-D pattern recognition has not been considered adequately. In this paper, we propose a new method to define a matching measure between 3-D curves. The measure is based on Procrustes metric between two 3-D curves, and the value is scale free and rotation invariant. Therefore, the measure is promising in 3-D orbit evaluation of robot arms or other 3-D Recognition problems.