3D visualization of color charts basis on the webmining technology

碩士 === 國立暨南國際大學 === 資訊工程學系 === 97 === In this paper, we propose an emotion-based visualization system for 3D color charts. Choosing colors is an important issue not only for professional artists and designers, but also for amateurs and beginner groups. By carefully arranging the tints and shades of...

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Bibliographic Details
Main Authors: Ting-Yu Liu, 劉亭瑜
Other Authors: 陳履恆
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/95726289410641952586
Description
Summary:碩士 === 國立暨南國際大學 === 資訊工程學系 === 97 === In this paper, we propose an emotion-based visualization system for 3D color charts. Choosing colors is an important issue not only for professional artists and designers, but also for amateurs and beginner groups. By carefully arranging the tints and shades of colors, an artist allows viewers to feel what the artist is feeling with strong impression. Color chart is the basis of color designing. Using color charts can avoid the visual error which is caused by misunderstanding and intermingling colors. Furthermore, the appropriate colors can be determined by their color value and color hue, and selected up from the color charts. Unfortunately, most color charts are designed and represented in 2-dimension. Furthermore, it is very difficult for users to survey the whole color model and choose colors in an intuitive way. Color psychology is a science of chromatology and psychology. Different colors give people different feeling by the relation between color and psyche. It provides a practical and intuitive mapping function between colors and user feeling. In our system, we construct the user-customized color charts by performing the following procedures. First, users can define their current psychological emotion directly by using a 3D emotion map, or indirectly by choosing keywords such as the name of artist or painting from random tables. Then, related images are searched from the web by adopting a web mining technology. A appropriate colors are therefore extracted to construct the color chart by analyzing these images. Finally, the color chart is rendered in a 3D visualization system which allows users to view and manage the distribution of colors interactively.