Point cloud reconstruction

Point cloud reconstruction is a crucial task in the field of computer vision, aiming to address issues of sparsity, noise, and irregularity in raw point cloud data. By using optimization algorithms, this task can generate denser, smoother, and more structured point cloud data, enhancing the accuracy and robustness of applications such as 3D scene understanding, object recognition, and modeling.