Current methods for analyzing three-dimensional points often fail to capture complex shapes because they scan in fixed directions. We introduce Group-wise Affine-Perturbed Serialization to solve this. Our method scans data along diverse, angled paths simultaneously to better capture geometry. This approach outperforms existing technologies in terms of accuracy without adding computational delay. It enables computers to understand real-world environments more precisely and efficiently.