Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Computing | en_US |
| dc.contributor.advisor | Chan, Keith (COMP) | - |
| dc.creator | Wong, Kwun Shing | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/10155 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Evolutionary computing of 2D cartoon character design | en_US |
| dcterms.abstract | The cartoon character design problem, which is concerned with the finding of the best appearance among many ones under some constraints. There is a discrepancy of a cartoon character design because there are many constraints and have no conception that can fulfil all of the situations. These constraints maybe are unknown, and it is dependent on the designer need. A designer's requirements can be forming a finite set of solutions, and the ultimate solution is to find the optimal design from these set of designs. Thus, it can be formulated as a combinatorial optimization problem and can solve with evolutionary computing. A cartoon generated system based on Interactive Genetic Algorithm (IGA) proposed in this paper. The solution to a design problem is very subjective. There is no objective measurement of a solution to the design problem. So, the problem-solving process requires the human being to involve. The IGA requested the human's subjective measurements replace the fitness function. Thus, the solution provided by IGA can be better reflect the user preferences. A cartoon figure can separate into various components for conducting evolutionary processes. The system in the experiment divided a cartoon figure into two main parts that are head and body. The head included hair, eyes, nose, mouth, ears, and face shape. The body part covered the upper body and lower body. These components will be applying a binary encoding method to encode. After encoded these components, the elements can go through the standard Genetic Algorithm (GA) procedure. The slight difference with GA is the user selection replaced the fitness function. It can subside the gap between the users' expectation and generated solutions. Experimental results demonstrate the feasibility of the proposed approach to solve the cartoon design problem. | en_US |
| dcterms.extent | vii, 43 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2019 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.LCSH | Cartoon characters | en_US |
| dcterms.LCSH | Cartooning -- Computer-aided design | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 991022268443803411.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.07 MB | Adobe PDF | View/Open |
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