Point Cloud Spatial Normalization for Deep Learning Pipelines
Point cloud datasets often require spatial standardization before being processed by 3D neural architectures. Normalization serves two primary purposes: translating the geometric center to the coordinate origin and scaling the overall extent to a consistent bounding range, typically [-1, 1]. This pr...