Machine Perception
口頭発表
照明変動に頑健なID認識とロボットの姿勢検出
- Author
- 永橋知行, 清水彰一, 藤吉弘亘
- Publication
- 人工知能学会SIG-Challenge研究会, pp. 32–37, 2005
Download: PDF (Japanese)
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, and correspondences of the optimal route obtained by back tracing are used for estimating the robot’s orientation. This method archives orientation estimation of less than 1 degree and robustness with respect to varying light condition.