18294433. METHOD FOR DETERMINING EXPRESSION MODEL, ELECTRONIC DEVICE AND NON-TRANSIENT COMPUTER READABLE STORAGE MEDIUM simplified abstract (Beijing Zitiao Network Technology Co., Ltd.)
METHOD FOR DETERMINING EXPRESSION MODEL, ELECTRONIC DEVICE AND NON-TRANSIENT COMPUTER READABLE STORAGE MEDIUM
Organization Name
Beijing Zitiao Network Technology Co., Ltd.
Inventor(s)
METHOD FOR DETERMINING EXPRESSION MODEL, ELECTRONIC DEVICE AND NON-TRANSIENT COMPUTER READABLE STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18294433 titled 'METHOD FOR DETERMINING EXPRESSION MODEL, ELECTRONIC DEVICE AND NON-TRANSIENT COMPUTER READABLE STORAGE MEDIUM
The abstract describes a method for determining an expression model based on facial image and eyeball feature information of a user.
- Acquiring facial image and eyeball feature information of a user
- Determining expression classification based on the facial image
- Adjusting corresponding expression model parameters based on the expression classification
- Utilizing facial image and eyeball feature information to obtain a target expression model
Potential Applications: This technology could be used in various fields such as emotion recognition, virtual reality, and human-computer interaction.
Problems Solved: This technology addresses the need for accurate expression modeling based on facial features.
Benefits: The benefits of this technology include improved emotion recognition, enhanced user experience in virtual environments, and more personalized human-computer interactions.
Commercial Applications: This technology could have commercial applications in industries such as gaming, healthcare, and security systems.
Prior Art: Prior art related to this technology may include research on facial recognition, emotion detection, and virtual reality technologies.
Frequently Updated Research: Researchers are constantly exploring new ways to improve expression modeling and emotion recognition using facial features.
Questions about Expression Modeling: 1. How does this technology improve emotion recognition accuracy? 2. What are the potential limitations of using facial features for expression modeling?
Original Abstract Submitted
A method for determining an expression model, an electronic device and a non-transient computer readable storage medium are provided. The method includes: acquiring a facial image and eyeball feature information of a user; determining a corresponding expression classification according to the facial image; determining a corresponding expression model to be adjusted based on the expression classification; adjusting corresponding parameters of the expression model to be adjusted by utilizing the facial image and the eyeball feature information to obtain a target expression model.
