3D Face Modeling System Method Based on the Database of Facial Form Classification
Hiroki Tezuka, Takashi Miyazaki · 2018
Recent developing 3D printers are rapidly spreading in various fields such as industry, medical association, entertainment, and so on. Along the flow of such dissemination, many kind of 3D model creating tools are required for 3D printers. In particular, 3D CG software with superior operability is used efficiently when creating a 3D model of a complicated object such as a person and an animal, but it takes time to create the form in details. There are some methods of extracting feature points and performing simulation in the conventional 3D model creation method, but it needs devices with high performance for simulation. On the other hand, when a model of a real person or an animal is created with a 3D printer, measurement systems of the shape with a laser or a plurality of cameras is necessary, which makes the system large and expensive. Therefore, we have developed a method that create a 3D model of a human face briefly without using high-performance equipment and deep learning, and actually create the 3D model. However, it still takes time to modify the face shape to resemble the model person.In this paper, we propose a novel 3D modeling system that is using facial photographs from four directions and is based on a database of facial outline feature classifications without using special measuring instrument and hardware.