【作者】 罗芳芳；

【导师】 容太平；

【作者基本信息】 华中科技大学 ， 电路与系统， 2005， 硕士

【摘要】 将计算机图像处理技术与现代医学相结合是目前医学图像处理的主要研究方向,它可实现医学上的计算机辅助症断与治疗。将这一先进技术应用于整形外科领域,可以进行手术设计与模拟、假体预制、形态测量等。由于计算机技术具有其他方法难以比拟的优越性,自八十年代以来,便成为整形外科领域研究发展的方向之一。本文在计算机图形学、生理学、弹性力学等领域的理论研究基础上,对二维人脸图像变形与三维人脸合成这两方面的技术进行了深入的研究。在二维图像变形方面,提出了一种基于区域划分思想的填充算法。通过区域划分,填充区域变成规则的矩形区域和小块的非规则区域,对于非规则区域,提出一种新的基于预测的像素填充算法。该算法可适用于任意形状区域的填充,且在填充效率上非常接近仅适用于矩形区域填充的标准矩形填充算法。此外,对多个算法进行了比较分析,指出其各自的优缺点、适用领域及时间复杂度,并给出了实验结果。在三维人脸合成方面,修正了特定人脸的照片,通过整体变换和局部变换这两种方法,将一般人脸网格模型修改为特定人脸网格模型; 对特定人脸网格模型应用了平面明暗处理和Phong 明暗处理,生成了具有真实感的三维人脸模型。最后,在简要回顾了本文工作的基础上,对二维人脸图像变形和三维人脸合成这两方面未来的研究方向进行了展望。更多还原

【Abstract】 Nowadays, the main research direction of medical image processing is to combine the computer image processing technology with modern medical science, it can realize computer-aided treatment in medical science. In the field of plastic surgery, this advanced technology can be used for operation design and simulation, prosthetic prefabrication and so on. As computer technology has more advantages than the other methods, it has been one of the research directions in the field of plastic surgery since 1980s. Based on the knowledge of computer graphics, physiology and elasticity, the technologies of 2D image deformation and 3D synthesis of realistic human face are researched further in this thesis. In the aspect of 2D image deformation, a new image filling algorithm on the basis of the thought of region division is presented in this thesis. In this algorithm, firstly, the complex region is divided into regular rectangle region and little block of irregular region. Then, aiming at irregular region, a new pixel filling algorithm based on prediction presented in this thesis is used. This algorithm can be used to fill in any desired region and its filling efficiency is close to that of standard rectangle filling algorithm. In addition, all algorithms discussed in the thesis are compared and analyzed. Their advantages, disadvantages, applicable region and time complexity are clearly pointed out and the experimental results are given. In the aspect of 3D synthesis of realistic human face, firstly, the photos of specific human face are modified in order to make them the same size. Secondly, through global transformation and local transformation, a specific 3D human facial model is attained from a general human facial model. Then, two display methods which are Phong light and shade as well as flat light and shade are adopted to acquire realistic 3D synthesized human facial model. Finally, the research work done in this thesis has been simplified summarized, and the research direction of 2D image deformation of and 3D synthesis of human face in the future has been provided.更多还原