20240046571. Systems and Methods for 3D Facial Modeling simplified abstract (Adeia Imaging LLC)
Contents
Systems and Methods for 3D Facial Modeling
Organization Name
Inventor(s)
Kartik Venkataraman of San Jose CA (US)
Systems and Methods for 3D Facial Modeling - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240046571 titled 'Systems and Methods for 3D Facial Modeling
Simplified Explanation
The 3D facial modeling system described in the patent application includes multiple cameras that capture images of a face from different viewpoints. The system also includes a processor and a memory containing a 3D facial modeling application and parameters defining a face detector.
The 3D facial modeling application directs the processor to obtain multiple images of a face captured from different viewpoints using the cameras. It then uses the face detector to locate the face within each image and labels key feature points on the located face. The system determines the disparity between corresponding key feature points of the located faces in the images and generates a 3D model of the face using the depth information from the key feature points.
- The system uses multiple cameras to capture images of a face from different viewpoints.
- A face detector is used to locate the face within each image and label key feature points.
- Disparity between corresponding key feature points in the images is determined.
- A 3D model of the face is generated using the depth information from the key feature points.
Potential applications of this technology:
- Virtual reality and augmented reality: The 3D facial modeling system can be used to create realistic avatars or virtual characters that mimic the facial expressions and movements of the user.
- Gaming: The system can be used to capture the facial expressions of players and map them onto in-game characters, enhancing the gaming experience.
- Biometrics and security: The 3D facial modeling system can be used for facial recognition and authentication purposes, providing a more secure and accurate method compared to traditional 2D facial recognition systems.
Problems solved by this technology:
- Accurate 3D facial modeling: The system solves the problem of accurately capturing and modeling the shape and depth of a face by using multiple cameras and key feature points.
- Realistic facial animations: The system solves the problem of creating realistic facial animations by accurately mapping the facial movements and expressions of a person onto a 3D model.
Benefits of this technology:
- Improved user experience: The 3D facial modeling system enhances user experiences in virtual reality, gaming, and other applications by creating more realistic and personalized avatars or characters.
- Enhanced security: The system provides a more secure method of facial recognition and authentication, reducing the risk of unauthorized access.
- Advanced facial analysis: The system enables detailed analysis of facial features and expressions, which can be useful in fields such as psychology, medicine, and entertainment.
Original Abstract Submitted
in an embodiment, a 3d facial modeling system includes a plurality of cameras configured to capture images from different viewpoints, a processor, and a memory containing a 3d facial modeling application and parameters defining a face detector, wherein the 3d facial modeling application directs the processor to obtain a plurality of images of a face captured from different viewpoints using the plurality of cameras, locate a face within each of the plurality of images using the face detector, wherein the face detector labels key feature points on the located face within each of the plurality of images, determine disparity between corresponding key feature points of located faces within the plurality of images, and generate a 3d model of the face using the depth of the key feature points.
