创建逼真的三维人脸模型是计算机图形学领域一个极富有挑战性的课题。
Building realistic 3d face models is a challenging task in the field of computer graphics.
提出了一种有效的从三视角2.5维人脸图像到完整三维人脸模型的融合方法。
This paper proposed an effective method of merging three views 2.5D scans into a whole 3D face model.
给出了一种有效支持个性化变形的三维人脸模型结构和一种特征约束的实时连续多分辨率绘制方法。
Presentes a 3d human facial model structure for supporting the individual distortion and a real-time continuous multiresolution rendering method with feature-constraint.
随着数字化技术应用的普及和硬件技术的飞速发展，迫切要求能够更快速、更逼真的创建三维人脸模型。
With the high rapid development of digital and hardware technology, there exists an urgent need to more quickly create more realistic three-dimensional face model.
一般的人脸姿态估计方法要通过提取脸部特征点之间的关系或根据已知的三维人脸模型来估测人脸的方向。
A new pose estimation strategy based on seven hair templates has been presented to estimate the orientation of face.
三维人脸识别中的核心部分是建立对应的三维人脸模型，而如何获得形状模型和精确的纹理影射是构建模型的关键性。
The key part of 3d face recognition is building the corresponding model with the acquisition of the shape model and accurate texture mapping as the core issues.
一旦我们确定了字我们将准备在三维人脸结构模型负债表，以及作为班子建设周转设计。
Once we've established the design of the character we will prepare a model sheet for facial construction in 3d, as well as a turnaround for the body construction.
采用纹理映射方法把输入图像垂直映射到三维人脸几何模型上。
Using texture mapping method vertically maps the input image to 3D geometric human face model.
三维人脸统计模型的建立的核心步骤是确立三维人脸数据库中点对点的对应关系。
The core step of building three-dimensional face statistical model is to establish a point-to-point correspondence among 3D faces in database.
提出一种全自动面部特征提取算法模型和三维人脸从侧面和正面的正交的人的脸被标定相机。
We present a fully automated algorithm for facial feature extraction and 3D face modeling from a pair of orthogonal frontal and profile view images of a person's face taken by calibrated cameras.
为了解决基于模型编码的新一代多媒体压缩标准中的MPEG - 4人脸动画技术，引入了一个MPEG - 4三维人脸动画系统。
MPEG-4 facial animation is one of the key technologies in the next generation model based on compress coding.
传统的三维模型加生理模型的方法可以生成真实的人脸表情图像，但是其中的计算复杂度很高。
The traditional 3-d reconstruction method using a face physiology model requires very complex computations, therefore, a sample-based method was developed to synthesize realistic facial expressions.
给出了基于实拍人脸图像的三维逼真人脸模型的重建算法。
This paper presents a reconstruction algorithm for 3d realistic facial model based on facial images.
传统方法采用精细的网格模型或曲面模型建立人头三维结构，采用生理模型或参数模型进行人脸动画。
Traditional approaches use wire-frame model or surface model to build 3D head structure, and use physiological model or parametric model to make facial animation.
本文在MPEG - 4的三维人脸动画原理的基础上提出一种新的基于MPEG - 4的、适宜于任意拓扑结构模型的三维人脸动画实现方法。
Based on the theory of facial animation in MPEG-4, a new method of realizing 3-d facial animation is proposed in this thesis. This method is applicable for all topological face models.
本文在MPEG - 4的三维人脸动画原理的基础上提出一种新的基于MPEG - 4的、适宜于任意拓扑结构模型的三维人脸动画实现方法。
Based on the theory of facial animation in MPEG-4, a new method of realizing 3-d facial animation is proposed in this thesis. This method is applicable for all topological face models.
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