Abstract: Systems and methods are disclosed for generating a substantially life-like, individualized three-dimensional (3D) head model. In one example, the method includes reconstructing a 3D face mask from the input image data of an individual's head or face. Detected facial landmarks of the reconstructed face mask are aligned with corresponding facial landmarks of a generic head model, and the remainder of the head is reconstructed by generating a blend fit head model from a weighted combination of basis head models. The blend fit model is then deformed to more accurately reflect the facial and/or head geometry of the individual. The method may further include associating an animation rig with the individualized 3D head model that allows for simulated movement of the 3D head model in, for example, personalized media content.

Abstract: Systems and methods are disclosed for performing voice personalization of video content. The personalized media content may include a composition of a background scene having a character, head model data representing an individualized three-dimensional (3D) head model of a user, audio data simulating the user's voice, and a viseme track containing instructions for causing the individualized 3D head model to lip sync the words contained in the audio data. The audio data simulating the user's voice can be generated using a voice transformation process. In certain examples, the audio data is based on a text input or selected by the user (e.g., via a telephone or computer) or a textual dialogue of a background character.

Abstract: Systems and methods are disclosed for creating personalized media content having multiple content layers in “one-click” fashion by selecting a background media template or by using an end-user media composition tool to create or modify a template. For example, the personalized media content can include at least two separate layers, the data of each being stored independently of one another. The two layers may include a background layer including at least one background character and an intermediate layer including an individualized three-dimensional (3D) head model, alignment information, and lighting information. The personalized media content can be displayed by overlaying the background layer using the alignment intermediate layer using the alignment information and the lighting information. In certain examples, template data associated with the background media is created and subsequently used on multiple occasions in generating personalized media content with various 3D head models.

Abstract: Systems and methods are disclosed for creating dynamic interactive advertisements using individualized three-dimensional (3D) human models. The interactive advertisements may be automatically generated based on a user profile associated with the viewer or may be created from an advertisement template by the viewer. Once generated, the viewer can alter the content of the interactive advertisement, make comments, rate the advertisement, and/or share it with others. In certain examples, one or more individualized 3D human head models are automatically selected for inclusion in the interactive advertisement based on the profile or preferences of the user without requiring a user selection of the 3D head model.