Introduction - If you have any usage issues, please Google them yourself
SIFT algorithm is applied to the teeth of the model image, the image feature point detecting teeth. Methods: DoG Gaussian differential operator to search the entire image the scale and location information, to determine a representative scale, the direction of the feature point. Select the key points based on their stability, to get a detailed model to determine the appropriateness of each candidate point location and extent. Information based on local image gradient direction and key points of the direction vectors correspond. Within the selected area around each critical point of measuring the local image gradient, and using KNN algorithm for feature matching. Results: Through a lot of experiments with other feature extraction methods and compare the proposed method can effectively detect tooth model image feature, and to provide an effective three-dimensional reconstruction tooth model parameters.