本文選題：人臉建模 + 形變模型��； 參考：《北京工業(yè)大學(xué)》2004年博士論文

【摘要】：真實感三維人臉建模和人臉動畫是計算機圖形學(xué)、計算機視覺領(lǐng)域最根本、最困難的問題之一,也是近年來國際上最活躍的研究熱點。真實感人臉建模的研究在電影、廣告、人物動畫、計算機游戲、視頻會議、人機交互、醫(yī)學(xué)、公安安全等許多領(lǐng)域有廣闊的應(yīng)用前景。 形變模型(Morphable Model)是近幾年出現(xiàn)的三維人臉建模新方法。雖然該模型同以往的參數(shù)模型、肌肉模型以及視覺模型相比,具有真實感好、自動化等特點,但目前該模型在模型建立、優(yōu)化以及光照等方面還存在諸多問題,在模型應(yīng)用方面也缺乏探索。針對上述問題,本文在基于形變模型的人臉建模方法及應(yīng)用方面展開了研究,主要的研究內(nèi)容包括: (1) 面向中國人特征的大規(guī)模三維人臉數(shù)據(jù)庫的建立。三維人臉數(shù)據(jù)庫是建立形變模型的基礎(chǔ)。數(shù)據(jù)庫的建立包括數(shù)據(jù)獲取、數(shù)據(jù)預(yù)處理、數(shù)據(jù)規(guī)格化以及數(shù)據(jù)庫結(jié)構(gòu)設(shè)計等研究內(nèi)容。關(guān)鍵是要解決高維三維人臉數(shù)據(jù)基于特征的像素級稠密對應(yīng)問題。 (2) 基于形變模型的人臉建模方法及改進。首先,基于三維人臉數(shù)據(jù)庫,研究三維人臉形變模型的建立方法,主要包括參數(shù)模型的建立和針對輸入人臉圖像的模型匹配。模型建立涉及模型基礎(chǔ)數(shù)據(jù)的量化處理和人臉參數(shù)表示模型的建立,模型匹配涉及光照模型、攝像機標(biāo)定以及大規(guī)模優(yōu)化問題。其次,對現(xiàn)有的形變模型進行了改進,主要針對非理想光照環(huán)境下的模型匹配問題和匹配優(yōu)化加速問題展開研究。 (3) 形變模型的應(yīng)用研究。主要研究模型在人臉動畫、人臉識別和人臉特征提取方面的應(yīng)用。在人臉動畫方面,研究人臉動畫的參數(shù)表示模型和人臉動畫的驅(qū)動方法。在人臉識別方面,針對人臉識別中的光照和姿態(tài)問題,研究基于三維人臉模型的人臉識別方法。在人臉特征提取方面,研究形變模型在二維人臉圖像特征表示方面的應(yīng)用。
[Abstract]:Realistic 3D face modeling and face animation is one of the most fundamental and difficult problems in the field of computer graphics. It is also the most active research hotspot in the world in recent years. The research of real moving face modeling has broad application prospect in many fields such as film, advertisement, character animation, computer game, video conference, human-computer interaction, medicine, public security and so on. Deformation Model is a new method of 3D face modeling in recent years. Compared with the previous parametric model, muscle model and visual model, the model has the characteristics of reality and automation, but there are still many problems in the modeling, optimization and illumination. There is also a lack of exploration in the application of the model. In order to solve the above problems, the method and application of face modeling based on deformation model are studied in this paper. The main research contents include: 1) the establishment of a large scale 3D face database for Chinese features. 3D face database is the foundation of building deformation model. The establishment of database includes data acquisition, data preprocessing, data normalization and database structure design. The key is to solve the feature-based pixel level dense correspondence problem of high dimensional 3D face data. (2) face modeling method based on deformation model and its improvement. Firstly, based on the 3D face database, the method of establishing 3D face deformation model is studied, including the establishment of parameter model and the model matching for input face image. Modeling involves the quantization of the basic data of the model and the modeling of facial parameter representation. Model matching involves illumination model, camera calibration and large-scale optimization. Secondly, the existing deformation model is improved. This paper focuses on the model matching problem and the matching optimization acceleration problem in the non-ideal illumination environment. This paper mainly studies the application of the model in face animation, face recognition and face feature extraction. In the aspect of face animation, the parameter representation model of face animation and the driving method of face animation are studied. In the aspect of face recognition, aiming at the illumination and pose problem in face recognition, a face recognition method based on 3D face model is studied. In the aspect of face feature extraction, the application of deformation model in 2D face image feature representation is studied.
【學(xué)位授予單位】：北京工業(yè)大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2004
【分類號】：TP391.4

【引證文獻】

相關(guān)博士學(xué)位論文 前1條

1 劉艷艷;子空間特征提取方法及其在人臉識別中的應(yīng)用[D];大連理工大學(xué);2008年

相關(guān)碩士學(xué)位論文 前2條

1 劉琦;三維人臉側(cè)面輪廓提取研究[D];天津工業(yè)大學(xué);2007年

2 楊穎;三維人臉建模及特征提取技術(shù)研究[D];西北大學(xué);2008年

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本文編號：2049905