精品文档---下载后可任意编辑一种基于单幅图像的三维人脸建模与表情合成方法的开题报告摘要：人脸建模和表情合成作为计算机视觉和图形学领域的重要课题，一直备受关注。本文提出了一种基于单幅图像的三维人脸建模与表情合成方法，通过分析人脸的几何结构和纹理特征，将二维图像转换为三维人脸模型，并实现不同表情的合成。具体方法包括了以下步骤：1. 先利用基于特征点的方法，对人脸图像进行关键点检测和对齐，猎取对齐后的二维人脸图像。2. 利用结构光等方法，猎取不同角度下的人脸深度信息，以图像纹理为输入，利用形状重建技术得到三维人脸模型。3. 建立三维人脸模型的表情数据库，包括不同表情下的形变信息。4. 根据输入的表情类别，从表情数据库中猎取相应的形变信息，应用到三维人脸模型上，实现表情合成。5. 将合成的三维人脸模型转化为二维图像，以便于展示和应用。本文所提出的方法具有简单、快速、有用、效果好等特点，可以广泛应用于人脸识别、虚拟现实、游戏开发等领域。关键词：三维人脸建模、表情合成、关键点检测、形状重建技术、结构光Abstract:As an important issue in the fields of computer vision and graphics, face modeling and expression synthesis have always been of great concern. In this paper, we propose a method for three-dimensional face modeling and expression synthesis based on a single image. By analyzing the geometric structure and texture features of the face, we convert the 2D image into a 3D face model and achieve the synthesis of different expressions. The specific method includes the following steps:1. First, using feature-based methods, detect and align the key points of the face image to obtain the aligned 2D face image.精品文档---下载后可任意编辑2. Using structured light methods, obtain facial depth information at different angles. Inputting the image texture, use shape reconstruction technology to obtain a 3D face model.3. Establish a expression database containing shape deformation information under different expressions for the 3D face model.4. Obtain the corresponding deformation information from the expression database according to the input expression category, and apply it to the 3D face model to achieve expression synthesis.5. Convert the synthesized 3D face model into a 2D image for display and application.The method proposed in this paper has the characteristics of simplicity, speed, practicality, and good results. It can be widely used in face recognition, virtual reality, game development and other fields.Keywords: three-dimensional face modeling, expression synthesis, key point detection, shape reconstruction, structured light.
