Machine Perception
国際会議
Robust and Accurate Detection of Object Orientation and ID without Color Segmentation
- Author
- Shoichi Shimizu, Ttomoyuki Nagahashi, Hironobu Fujiyoshi
- Publication
- RoboCup International Symposium, 2005
Download: PDF (English)
This paper describes a novel approach to detecting orientation and identity of robots without color segmentation. The continuous DP matching calculates the similarity between the reference pattern and the input pattern by matching the intensity changes of the robot markers. After the continuous DP matching, a similarity value is used for object dentification. Correspondences of the optimal route obtained by back tracing are used for estimating the robot’s orientation. This method archives orientation estimations of less than 1 degree and robustness with respect to varying light conditions.
※本発表は2005年度ロボカップ研究賞を受賞しました。