Animation Expression Control Based on Facial Region Division

Abstract

Science and technology are developing rapidly in the twenty-first century. With the development of information technology, computers play a great role in people’s life. At present, with people’s increasing love for animation, exquisite and realistic animation has become people’s pursuit goal. Generally speaking, the most impressive thing in animation is the animation character expression. Nowadays, with the rapid development of science, it is necessary to develop a computer technology that can be used in animation expression control technology. The facial division is just met by computer technology. It is very important for the animation to create an animation expression consistent with the character’s face. The character face has diversity and uniqueness, which plays an important role in animation expression control. There are many factors in the character’s face area that affect animation expression control. The coordinated movement of multiple facial organs shows various emotional states through the changes in muscle movements in various areas of the face, such as eye muscles, facial muscles, and oral muscles. It has strong integrity and particularity and has relatively high technical requirements. Generally, the expression control technology can transform and deform a specific area of the face. Based on the division of the face area, the computer technology is used to calculate the different expression features of the face for recognition, showing a more exquisite and realistic animation expression. Under this background, this paper divides the facial region and introduces the physiological structure of the face and the relationship and influence between facial expression and animation expression control. Several algorithms used in facial structure feature point extraction are compared experimentally. After experimental comparison, it is found that the improved algorithm is much more efficient than the original algorithm in the process of extracting facial feature points, can remove redundancy, greatly reduce the amount of operation data, and lay a good foundation for the follow-up animation expression control technology.