Abstract: The present invention relates to a method of creating an animatable digital clone includes receiving input multi-view images of an actor captured by at least two cameras and reconstructing a three-dimensional appearance therefrom, accepting shape information selectively based on a probability of photo-consistency in the input multi-view images obtained from the reconstruction and transferring a mesh topology of a reference human body model onto a shape of the actor obtained from the reconstruction. The method further includes generating an initial human body model of the actor via transfer of the mesh topology utilizing sectional shape information of the actor's joints, and generating a genuine human body model of the actor from learning genuine behavioral characteristics of the actor by applying the initial human body model to multi-view posture learning images where performance of a predefined motion by the actor is recorded.

Abstract: The present invention relates to a method of creating an animatable digital clone includes receiving input multi-view images of an actor captured by at least two cameras and reconstructing a three-dimensional appearance therefrom, accepting shape information selectively based on a probability of photo-consistency in the input multi-view images obtained from the reconstruction and transferring a mesh topology of a reference human body model onto a shape of the actor obtained from the reconstruction. The method further includes generating an initial human body model of the actor via transfer of the mesh topology utilizing sectional shape information of the actor's joints, and generating a genuine human body model of the actor from learning genuine behavioral characteristics of the actor by applying the initial human body model to multi-view posture learning images where performance of a predefined motion by the actor is recorded.