Robust Mesh Segmentation Using Feature-Aware Region Fusion

2022年12月30日·
Lulu Wu
,
Yu Hou
,
徐俊丽
,
Yong Zhao
Corresponding
· 0 分钟阅读时长
Image credit: Lulu Wu
摘要
This paper introduces a simple but powerful segmentation algorithm for 3D meshes. Our algorithm consists of two stages: over-segmentation and region fusion. In the first stage, adaptive space partition is applied to perform over-segmentation, which is very efficient. In the second stage, we define a new intra-region difference, inter-region difference, and fusion condition with the help of ious shape features and propose an iterative region fusion method. As the region fusion process is feature aware, our algorithm can deal with complex 3D meshes robustly. Massive qualitative and quantitative experiments also validate the advantages of the proposed algorithm.
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出版物
Sensors
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讲师
博士,硕士生导师,2016年1月从中国海洋大学海洋科学博士后流动站出站,3月进入青岛科技大学数理学院工作。主持多项科研项目,如国家自然科学基金青年基金、山东省海洋生态环境与防灾减灾重点实验室开放基金、青岛市博士后研究人员应用研究项目资助。
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