Features Extraction and Matching of Teeth Image Based on the SIFT Algorithm
Using of SIFT algorithm in the image of teeth model,can detect the features of the teeth image effectively.In this approach,first,search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation.Second,select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location.Third,assign one or more orientations to each keypoint location based on local image gradient directions.Last,measure the local image gradients at the selected scale in the region around each keypoint.And then use the KNN algorithm to match the features.Through lots of experiments and comparing with other feature extraction methods,this method can detect the features of the teeth model effectively,and offer some available parameters for 3D reconstruction of the teeth model.
SIFT feature extraction teeth image
Wang Xinzui Li Huanli Dong Ningning
Suzhou Institute of Biomedical Engineering and Technology Changchun Institute of Optics, Fine Mechanics and Physics,Chinese Academy of Sciences Graduate Schoo
国际会议
沈阳
英文
483-486
2012-07-27（万方平台首次上网日期，不代表论文的发表时间）