Automatic approach to mapping a lifelike 2.5D human face

摘要

An automatic approach to making human face models is proposed. It is a separate system with the input in the form of a range data set and a colour image of a human face. These two sources are processed individually to derive the information necessary to automatically synthesize a lifelike facial model. The information obtained from the facial range data set includes the anatomical sites of features and the geometrical data of the face. The information extracted from the facial colour image is the boundaries of facial features and the attributes of facial textures. These two sources are integrated to produce a volumetric facial model.