Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 3D mesh segmentation has been widely used in fields such as computer vision. Existing algorithms have the problems of over- and under-merging when performing 3D mesh segmentation. ,  propose a robust and efficient segmentation algorithm using a so-called two-stage merging strategy.  first define a flatness measure for mesh faces, and partition the given mesh model into different patches based on the flatness measure. In order to handle the over- and under-merging problems,  first perform a local merging operation and then a global merging operation. Experiments show that our algorithm is effective, and works ll even for models without obvious part boundaries at their joints.
['Xiang Pan', 'Xiuzu Ye', 'Sanyuan Zhang']
I am writing a research paper on a idea 3D mesh segmentation using a two-stage merging strategy
[{"from": "human", "value": "I am writing a research paper on a idea 3D mesh segmentation using a two-stage merging strategy"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 3D mesh segmentation has been widely used in fields such as computer vision. Existing algorithms have the problems of over- and under-merging when performing 3D mesh segmentation. ,  propose a robust and efficient segmentation algorithm using a so-called two-stage merging strategy.  first define a flatness measure for mesh faces, and partition the given mesh model into different patches based on the flatness measure. In order to handle the over- and under-merging problems,  first perform a local merging operation and then a global merging operation. Experiments show that our algorithm is effective, and works ll even for models without obvious part boundaries at their joints."}]