Research Robot Intelligence
6D Object Pose Estimation using 3D Vector Pairs
This method is a stable 3D object detection that can be applied to complicated scenes consisting of randomly stacked industrial parts.The proposed method uses a 3D vector pair that consists of paired 3D vectors with a shared starting point.By considering the observability of vector pairs, the proposed method has achieved high recognition performance.The observability factor of the vector pair is calculated by simulating the visible state of the vector pair from various viewpoints. By integrating the observability factor and the distinctiveness factor proposed in our previous work, a few vector pairs that are effective for recognition are automatically extracted from an object model,and then used for the matching process. Experiments have conﬁrmed that the proposed method improves the 88.5% recognition success rate of previous state-of-the-art methods to 93.1%.The processing time of the proposed method is fast enough for practical robotic bin-picking.