Creating Personalized Head Models from Image Series
Д. В. Иванов, Victor Lempitsky, A. V. Shokurov, Andrey Khropov, Yevgeniy P. Kuzmin · 2003
This paper overviews the technologies aiming at creating personalized head models by calibrating generic model of an average head. The models can be created from two photographs taken in front and profile directions, a collection of photographs taken in arbitrary directions and a video stream showing continuous rotation of a head from one profile to the other. The calibration process is designed as a pipeline of sequential stages that register available views in a framework associated with the head, adjust the geometry of a model in order to obtain precise matching with the input data, and generate a consistent texture by merging the texture candidates obtained through inverse texture mapping. The visual quality of the obtained models depends on the spatial resolution of a generic mesh and the resolution of initial images, which allows the proposed calibration pipeline to be used in a wide range of applications including computer games, film production and video conferencing.