Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Range image segmentation has many applications in computer vision areas such as computer graphics and robotic vision. A generic methodology for 3D point set analysis in which planar structures play an important role is defined. It consists mainly of a specific K-means algorithm which is able to process different shapes in cluster. At the same time, within geometric and topologic considerations, a set of application-driven heuristics is designed. This helps to find out the right number of structures in point sets in order to give a good visualization and representation of a large scale environment without a priori models. Our aim is to propose a simple and generic frame for 3D scene understanding. Tests re realised on different types of environment data: natural and man-made. This research project has been realized with EADS (French Air Space Society).
['Nicolas Loménie']
I am writing a research paper on a idea A generic methodology for partitioning unorganised 3D point clouds for robotic vision
[{"from": "human", "value": "I am writing a research paper on a idea A generic methodology for partitioning unorganised 3D point clouds for robotic vision"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Range image segmentation has many applications in computer vision areas such as computer graphics and robotic vision. A generic methodology for 3D point set analysis in which planar structures play an important role is defined. It consists mainly of a specific K-means algorithm which is able to process different shapes in cluster. At the same time, within geometric and topologic considerations, a set of application-driven heuristics is designed. This helps to find out the right number of structures in point sets in order to give a good visualization and representation of a large scale environment without a priori models. Our aim is to propose a simple and generic frame for 3D scene understanding. Tests re realised on different types of environment data: natural and man-made. This research project has been realized with EADS (French Air Space Society)."}]