Local Image Feature
学術論文（J）
SIFT特徴量を用いた交通道路標識認識
- Author
- 高木雅成, 藤吉弘亘
- Publication
- 電気学会論文誌, vol. 129–C, no. 5, pp. 824–831, 2009
The paper describes an algorithm for traffic sign recognition using SIFT features. The algorithm works in four steps. First, feature points are extracted out of an input image. Secondly, the amount of the features of the feature points is computed by SIFT Descriptor. Thirdly, the final recognition result is classified by matching feature points and voting feature points. The experimental results indicate that 88.7% of the traffic signs are correctly identified under various environmental conditions.