The GauFace representation can be extended to accommodate more complex facial features by integrating additional Gaussian primitives specifically designed for hair, teeth, and eyes. This can be achieved through the following strategies:
Hierarchical Gaussian Representation: By creating a hierarchical structure where different facial components (e.g., hair, teeth, eyes) are represented as separate Gaussian sets, each with its own parameters. This allows for specialized optimization and rendering techniques tailored to the unique characteristics of these features.
Dynamic Shadow Vectors: Similar to the approach used for facial skin, dynamic shadow vectors can be defined for hair and other features to capture the deformation-dependent shading effects. This would enhance realism by accurately simulating how light interacts with these complex surfaces.
Texture Mapping and UV Coordination: Extending the UV mapping to include hair and teeth textures can improve the visual fidelity of these features. By ensuring that the Gaussian points for hair and teeth are aligned with their respective UV maps, the representation can maintain high-quality rendering under various lighting conditions.
Blendshape Integration: Incorporating blendshapes for hair movement and eye expressions can enhance the interactivity and realism of the facial avatar. This would involve rigging Gaussian points to the underlying mesh of the hair and eyes, allowing for dynamic animations that respond to user inputs or predefined expressions.
Multi-Resolution Gaussian Points: Utilizing a multi-resolution approach where finer Gaussian points are used for detailed features like eyes and teeth, while coarser points are used for broader areas like the face and hair. This would optimize rendering performance while maintaining detail where it matters most.
By implementing these strategies, the GauFace representation can effectively handle the complexities of additional facial features, resulting in more lifelike and interactive avatars.