3D Target Recognition Based on Invariant Angle Contour

Abstract:

The fast and accurate identification of three-dimensional objects is a hot research topic. According to the characteristics of local feature transform, one new method called the invariant angle contour line was proposed. Local segmentation of the objects was realized by point cloud vector feature, and then using Euclidean distance, measuring the distance and angle of the three variables, the invariant point outline feature description was established, after further extracting invariant moments feature, the feature vector database would be constructed. Through the cosine matching between feature description of the object and database, the object recognition can be accomplished by comparing the threshold value. The recognition experiment results show that the algorithm has a high recognition rate and recognition efficiency, and can be used for complex point cloud objects recognition.