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Cartoon Figure Generation Based on Matchingalgorithm

Author: ZhaoJing
Tutor: MaYingHong
School: Shandong Normal University
Course: Management Science and Engineering
Keywords: Cartoon image generation Case matching Image feature extraction Similarity measure Fourier description
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 27
Quote: 1
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Abstract


Animated cartoon image generally manual designed and drawn by the designer, designers need a professional graphic design capabilities. Computer animation design tool provides an interactive design tools, from beginning concept to final completion requires designers to manipulate completed, generated cartoons, still depends on the designer's own art foundation and drawing style. Paper studies simple strokes input by the user and geometry as a constraint to extract the characteristics of input strokes or shape, and in the sample with the gallery element characteristic matching, and then generate a cartoon image of the user's design intent. Fourier shape description method, unified description of user input example primitive sketches and gallery information; Euclidean distance to calculate the similarity between user sketches and examples of primitive both matching based on shape characteristics, and thus through interactive adjustments and modifications as primitives, generate a personalized cartoon image. The results show that the cartoon character synthesized by this method is in line with the user's design intent. If you add the user feedback on the results, the effect will be more in line with user needs. The granularity of the elements divided not be able to edit and control the characteristics of the facial expression. The next step is narrowing the particle size, such as refinement to the face, eyes, mouth, and facial expressions to better performance and control characters. The first part of the paper introduce the research background and significance, and around the cartoon image to generate relevant research work made a brief presentation; second part focuses on the main ideas of the method of generating matching algorithm based on the cartoon image including examples acquisition, an example the Classification and organizations, as well as examples of feature extraction and matching, the cartoon image generation; third part focuses on image feature extraction methods, and using Fourier descriptors to describe the shape, the shape of the experiment illustrates the descriptor expression on performance; fourth section describes the image feature matching method, respectively Manhattan distance and Euclidean distance as a similarity measure method experiment generated basically in line with the cartoon image of the user's design intent; fifth part of this study summarized, prospects and future research directions and research prospects.

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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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