A Novel Salient Line Detection Approach Based on Ant Colony Optimization Algorithm

In this paper, we propose a novel salient line detection algorithm for 3-dimensional (3D) mesh models based on ant colony optimization algorithm. In proposed method, the heuristic function in ACO transition function is improved based on tensor feature and the relationship between mean curvature information via vertex geometric feature. In addition, the proposed method establishes a similarity measurement criterion of feature points by combining the normal tensor voting with discrete mean curvature. Moreover, a direction control function is utilized to conduct the detection process to a expect direction, which can achieve an interaction between operator and computer. The experimental results show that the proposed method can extract the salient line effectively and precisely.