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.
DANG Gang CHENG Zhi-Quan ZHOU Jingwen LI Liang Jin Shiyao
PDL Laboratory, National University of Defense Technology, P. R. China
国际会议
上海
英文
254-257
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）