Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
