A method of extracting human facial feature points based on 3D laser scanning point cloud data

Three-dimensional body measurement is determined by measuring the size of each part of the body and body shape, in order to study the morphological characteristics of the human body, and provide basic information for human industrial design, ergonomics, engineering design, anthropological research, and medicine. This paper presents a three-dimensional point cloud data extraction method of facial feature points by doing nose points with examples, using this method can accurately locate the feature points, and there is no specific stations toward requirements in the process of scanning point cloud of the human body, it is convenient and quick. The results show that this method can meet the ergonomics and other features to quickly locate and measure the body size requirements.