Real-Time Avatar Pose Transfer and Motion Generation Using Locally Encoded Laplacian Offsets

We propose a human avatar representation scheme based on intrinsic coordinates,which are invariant to isometry and insensitive to human pose changes,and an efficient pose transfer algorithm that can utilize this representation to reconstruct a human body geometry following a given pose.Such a pose transfer algorithm can be used to control the movement of an avatar model in virtual reality environments following a user's motion in real time.Our proposed algorithm consists of three main steps.First,we recognize the user's pose and select a template model from the database who has a similar pose;then,the intrinsic Laplacian offsets encoded in local coordinates are used to reconstruct the human body geometry following the template pose;finally,the morphing between the two poses is generated using a linear interpolation.We perform experiments to evaluate the accuracy and efficiency of our algorithm.We believe our proposed system is a promising human modeling tool that can be used in general virtual reality applications.