Face Lift Surgery for Reconstructed Virtual Humans

Abstract

Abstract-We introduce an innovative, semi-automatic method to transform low resolution facial meshes into high definition ones, based on the tailoring of a generic, neutral human head model, designed by an artist, to fit the facial features of a specific person. To determine these facial features we need to select a set of "control points" (corners of eyes, lips, etc.) in at least two photographs of the subject's face. The neutral head mesh is then automatically reshaped according to the relation between the control points in the original subject's mesh through a set of transformation pyramids. The last step consists in merging both meshes and filling the gaps that appear in the previous process. This algorithm avoids the use of expensive and complicated technologies to obtain depth maps, which also need to be meshed later.

Seamless, Static Multi‐Texturing of 3D Meshes

“…The techniques presented above have been used in a more complete 3D human model reconstruction system [PBM13]. Besides, we have used them as well to show how the results of two different 3D facial model reconstruction techniques (based on both passive [PAM11] and active [PM12] approaches) look after multi‐texturing.…”

3D facial merging for virtual human reconstruction

“…To the best of our knowledge, this has been only Figure 1. General process overview considered in another technique of ours [7], where facial landmarks representing important feature points in the subject's face are used to create a basic geometric transformation of a generic facial model by using pyramids formed by these landmarks and the barycentre of the head. However, even tough the results are good, transforming a generic 3D model will never be as accurate as obtaining the concrete subject's facial geometry.…”