在電腦硬體快速發展的時代，以前被視為只能在工作站上執行的3D繪圖現今也可以輕易地在普通的家用電腦上執行。藉著網路視訊攝影機低廉的價格以及其普及化的趨勢，我們設計一套兼顧快速以及經濟性的系統。使用者可以輕易自行架構攝影環境，不需專業的操作便可以自動產生立體的人臉誇張模型。另一方面我們改良並結合先前的2D誇張肖像漫畫研究，除了大幅提升五官定位的精確度外，藉著替換多張參考畫作，產生出來的模型可以呈現不同藝術風格的外觀，以供廣泛的娛樂用途。 / With the advances of hardware nowadays, the computation and demonstration of 3D graphics are readily attained on a personal computer. At the same time, thanks to the prevalence of instant messaging software, webcam has become very popular. These combined factors have motivated us to design an economic and effective solution for general users to create their own 3D caricature models without complex procedures or instructions. In this thesis, we have developed a system which can extract and analyze facial features from an image pair captured by two webcams, and then generate a 3D face model based on it. Specifically, we improved previous research to obtain more accurate feature locations, and extended the exaggeration algorithm to generate more impressive effects. By fusing a caricature produced with different work as references, the system is capable of painting the face model with various artists’ styles.

誇張肖像畫是以誇張與諷刺的手法來表現模特兒的特徵。現今這類畫作比起以寫實手法繪製的肖像畫，更受到大眾的喜愛；但是人們若想要自己模仿繪製出這類的肖像畫，除了要有繪畫天賦之外，也必須經過長時間的繪畫訓練以及對人臉的觀察，才能抓出模特兒的臉部特徵，並用生動的手法誇飾出來。 因此，如果電腦能做到代替誇張肖像畫家的工作，自動模仿繪製出誇張化的卡通肖像畫，將能替人們節省大量的時間及經費。本研究主要在設計一套能誇張肖像畫的系統，以根據使用者輸入的臉部影像，自動擷取臉部的特徵（包括特徵點的相對位置、絕對位置、形狀及大小等），並藉由分析這些特徵與常人相異之處，以一致的方式自動將特徵誇張化。這個系統並能以藝術家的作品為輸入，將使用者的臉部影像轉換成具有畫家卡通風格的誇張肖像畫。除了人臉的效果外，我們也進行了頭髮分離與模擬的研究，以強化畫像風格模擬的完整性。最後，我們以實做出了系統對數個具特徵的人臉影像進行實驗，以驗證其可行性及有效性。 / Caricaturists are good at drawing sketches which express the exaggerated likeness of a person with a bit flavor of humor or sarcasm. People are willing to pay for this kind of work because it requires a lot of practice to achieve excellence. Acute observation is needed to extract the distinct features from the subject, and decent painting skill is essential to depict these features vividly. It will save much time and effort if computers can be trained used to draw caricatures. In this thesis, we developed a system which can extract and analyze facial features from simple an input facial images. The main purpose of this system is to generate the user-own caricature model by exaggerating his/her unique facial features. Different types of features, including relative locations and sizes, absolute locations and sizes, and each the shape of features are all taken in accountwill be considered. Unlike the complex process reported in the literature, we develop a transformative process that can handle different types of features in a more uniform fashion. Using an artist’s finished work as the source image; the proposed system is capable of producing cartoon-like colorful caricatures of a similar style effectively and efficiently. Besides the caricature painting of the face part, we also present some approaches for hair segmentation and hair style painting to increase make the system more the completeness of our system. Finally, we prove the feasibility and effectiveness of our system by showing several experimental results.