An automatic mesh segmentation algorithm following cognitive theory

In the digital geometric technologies, Mesh segmentation is an important part and is actively researched now. We present a meaningful automatic mesh segmentation algorithm based on the minimum rule, the short-cut rule, and the part salience test from the cognitive theory. To find the candidate contours, we first extract features by using the minimum rule, and then the open contours are prioritized and shortcut completed to form loops around the mesh. At last, the part salience test will remove the invalid loops and segmentation is finished. Our intuitive algorithm not only divides the meshes in a rational visual perception way, but also has a better performance and lower complexity.