Normal Estimation and Cylinder Segmentation of Point Clouds Using Planar Decomposition

Dec 25, 2025

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This project focuses on the analysis of point clouds through normal estimation and cylinder segmentation techniques. By applying advanced algorithms and planar decomposition methods, we aim to improve the accuracy of segmented point clouds. This process is crucial for various applications, including 3D modeling and object recognition in computer vision. We delve into the mathematical underpinnings of normal estimation and explore effective approaches to discern cylindrical structures within dense point cloud datasets.

whitney-wolf

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Normal Estimation and Cylinder Segmentation of Point Clouds Using Planar Decomposition

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