Research On Feature Based B Spline Fitting In 3D Face Reconstruction

With the rapid development of social information technology and the rapid development of computer identification technology,how to create a more realistic three-dimensional face model has become a very challenging issue.The reconstruction of 3D face model has more and more applications in virtual reality,video surveillance,3D animation and face recognition.In terms of identity,compared with other biometrics,face recognition has the advantages of convenient collection,strong usability and so on,and has received a lot of attention.Therefore,face recognition based on 3D face reconstruction model can improve the accuracy of recognition.In the three-dimensional animation and game modeling,creating a more realistic model has become a hot topic,and now,3D face reconstruction has gradually become a hot topic in the field of computer vision and computer aided design.Whether from the theoretical research or from the practical application of the point of view,three-dimensional face reconstruction is worthy of further study,it is to promote the computer vision and computer-aided design research development is of great significance.However,the current curve surface reconstruction algorithm still has many problems:(1)When the accuracy of the fitting is low,many of the local minimum points will be easily overlooked,will lead to the final curve in the point of deformation;(2)When the precision of the fitting is high,the amount of computation tends to be very large.In view of the above problems,the main contents of this paper include the following aspects:(1)Point cloud data preprocessing.3D face data is usually a large number of point cloud data obtained by laser scanner.These data are inevitably subject to noise pollution,so before the surface reconstruction of the point cloud data for a simple noise reduction.(2)Proposed a new curve reconstruction algorithm.Based on the analysis of the classical reconstruction algorithm,we classify these two kinds of key points according to the geometric feature points of the curve and the important points of the error-constrained key points in the reconstruction of the curve,and then improve the precision The efficiency of the algorithm.(3)Surface reconstruction algorithm and its application in 3D face reconstruction.Based on the important idea of point,line and surface,the data points with the characteristics of the ranks are segmented to obtain the data points of the contours of the surface,and then the feature layering curve reconstruction algorithm is adopted.Under the conditions of surface fitting.And the surface reconstruction algorithm is applied to the reconstruction of 3D face surface.