Abstract
3D reconstruction techniques for animated images and animation techniques for faces are important research in computer graphics-related fields. Traditional 3D reconstruction techniques for animated images mainly rely on expensive 3D scanning equipment and a lot of time-consuming postprocessing manually and require the scanned animated subject to remain in a fixed pose for a considerable period. In recent years, the development of large-scale computing power of computer-related hardware, especially distributed computing, has made it possible to come up with a real-time and efficient solution. In this paper, we propose a 3D reconstruction method for multivisual animated images based on Poisson’s equation theory. The calibration theory is used to calibrate the multivisual animated images, obtain the internal and external parameters of the camera calibration module, extract the feature points from the animated images of each viewpoint by using the corner point detection operator, then match and correct the extracted feature points by using the least square median method, and complete the 3D reconstruction of the multivisual animated images. The experimental results show that the proposed method can obtain the 3D reconstruction results of multivisual animation images quickly and accurately and has certain real-time and reliability.
Highlights
With the development of computer image technology, the requirements for computer hardware are getting higher and higher
The Poisson equation-based 3D surface reconstruction technique is used to study the algorithm for reconstructing a triangular surface model with solid geometric surface information of an object based on the existing 3D point cloud model with normal vector information
After practical experiments, it is proved that the improved Poisson reconstruction algorithm based on the shielded Poisson equation, by using interpolation constraints on the input information for preprocessing, postprocessing after the optimization of the equivalence surface extraction algorithm, differs from the original Poisson reconstruction algorithm based on the Poisson equation
Summary
With the development of computer image technology, the requirements for computer hardware are getting higher and higher. It is common to use 3D models to analyze industrial problems; three-dimensional acquisition and display technology advances make the object with rich geometric. The Poisson equation-based 3D surface reconstruction technique is used to study the algorithm for reconstructing a triangular surface model with solid geometric surface information of an object based on the existing 3D point cloud model with normal vector information. For the algorithm of 3D surface reconstruction, the Poisson surface reconstruction algorithm combines the advantages of global and local methods and uses implicit fitting to obtain the implicit equation of the surface information described by the point cloud model its representative by solving the Poisson equation and by performing the equivalence surface extraction on this equation, to obtain the final desired surface model with rich 3D geometric solid information [2]
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