In this paper, we propose a simple yet effective method to represent point clouds as sets of samples drawn from cloud-specific probability distribution. This interpretation matches intrinsic characteristics clouds: the number points and their ordering within cloud is not important all are proximity object boundary. We postulate each parameterized distribution in space, which defined by generati...