Generating Point Cloud from Measurements and Shapes Based on Convolutional Neural Network: An Application for Building 3D Human Model

Algorithm 2

Constructing 3D point cloud.

	Input: Set of generated primary slices in which comes from Algorithm 1, Set of 3D shapes in which is a sample following the slice-structure
	Output: Set of learned parameters
	for each sample do
	=  the number of rows of
	=  the number of column of
	init as matrix
	for from to do
	for from to do
	start = max
	end = min