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Based on the NPR Portrait Face Feature Generate System

Author: SunWeiPing
Tutor: WangMin
School: Xi'an University of Architecture and Technology
Course: Signal and Information Processing
Keywords: Non-Photorealistic Active Shape Model Hair feature points Bezier curve fitting
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 53
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Abstract


People face portraits generated in the field of computer image processing technology has been more and more attention because of its broad application prospects , it is widely used in cartoon animation modeling , virtual environment , communication technology , film production , gaming entertainment , and many other aspects . And pattern recognition , artificial intelligence and animation modeling inextricably linked . How to make the computer can be automatically generated from the frontal face photo of a face a face portraits of cartoon effect , the goal of this project . Completed an ASM- face feature point extraction and hairstyles feature points automatically extracted face cartoon portrait generation system . Processing through the system , you can directly generate a non-photorealistic portraits cartoon effect in this system need only enter a positive size photos . First , this paper analyzes the NPR non-photorealistic technology development and Cartoon applications . Secondly , compare the advantages and disadvantages of Snkaes algorithm , AAM algorithm and ASM algorithm to extract facial feature points , and the shortcomings of traditional ASM algorithm imprecise positioning , targeted two - dimensional template matching program ; based empirical methods in the noise added to the training model , increasing the ASM algorithm face positioned scope; the use of stacking of the ASM model , to improve the accuracy of the positioning points ; trim outline of the method of the covariance matrix , reducing the positioning time of the ASM algorithm ; improved ASM algorithm for face feature point extraction . Then , the ASM extracted facial feature points based on an automatic hairstyle feature point extraction method and algorithm VC platform . Finally, the face and hair using Bezier curve fitting feature points , the face portraits contours generated cartoon features , and write software to complete the design of the entire algorithm . Experimental results show that the algorithm is simple and effective , able to complete the portrait drawn basic requirements , the academic and applied significance .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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