Fading Coder

One Final Commit for the Last Sprint

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...