Full-automatic modeling approach of three dimensional faces based on phase deviation scanning

Abstract

The invention proposes a full-automatic modeling approach of three dimensional faces based on phase deviation scanning. The approach firstly obtains depth point cloud data of the face part of a scanned person by phase deviation scanning technology, and then registers the point cloud data by using a new self-adaptation topology non-rigid registration method to acquire a smooth face triangle mesh model with continuous and complete topology. The experimental result proves that the modeling process provided by the approach makes all of the general users obtain their own individualized three dimensional face model, and the modeling is significant to the popularization of three-dimensional facial animation in the application of computer graphics.

Description

technical field [0001] The invention relates to the field of three-dimensional human face scanning and non-rigid registration in the field of computer simulation of three-dimensional human face modeling. Background technique [0002] Face modeling is a research hotspot in computer graphics and computer vision. There are many good methods for the establishment of general standard face models, but it is much more difficult to model specific faces. So far, there is no automatic, efficient and realistic method. [0003] At present, the existing (semi) automatic face modeling technology methods can be divided into the following three categories: one is to use complex and expensive hardware devices such as three-dimensional laser scanners, and cooperate with corresponding algorithms to obtain geometric and texture data; two. It uses ordinary cameras to collect two-dimensional face image data, supplemented by complex image processing and computer vision methods for data reconstruc...

AI Technical Summary

Problems solved by technology

However, the existing standard template registration technology does not consider whether the fineness of the template and the point cloud data match, and the topology of the template model used is also fixed, which makes it difficult to guarantee the final registration accuracy or has redundant data.

Images