Color Correction Methods of 3D Scanning Images
碩士 === 國立臺灣科技大學 === 色彩與照明科技研究所 === 104 === Nowadays, the judgment of the 3D reconstructed object is generally cared about accuracy of the shape, but the quality of the face color is often neglected in 3D scanning field. The color information is one of the most important factors for people while eval...
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ndltd-TW-104NTUS51231302019-10-05T03:47:07Z http://ndltd.ncl.edu.tw/handle/24wd2b Color Correction Methods of 3D Scanning Images 三維掃描影像色彩修正技術 Kai-Lin Zhan 詹凱琳 碩士 國立臺灣科技大學 色彩與照明科技研究所 104 Nowadays, the judgment of the 3D reconstructed object is generally cared about accuracy of the shape, but the quality of the face color is often neglected in 3D scanning field. The color information is one of the most important factors for people while evaluating the object. The face color comes from the recorded 3D texture images while 3D reconstructing. Therefore, this thesis focuses on solving the problem of the color information of the 3D texture images, and correcting the face color further. There are two experiments in this thesis. One is defined as correcting 3D texture images with the method of measuring standard of the color information, the other is defined as correcting the 3D texture images with the method of computer graphics. Both of the purposes of the experiments are correcting the color information of the 3D texture images. The purpose of the experiment 1 is correcting the color information of the 3D texture images with calibration charts and the measured values. The difference of the 3D texture images and the 2D images is the luminance and the color information in the third dimension. Therefore, the calibration ball is used for correcting the luminance and the color information in the third dimension. The results of the experiment 1 are compared with the color difference and evaluated the curves of the luminance distribution. The purpose of the experiment 2 is simulating reality lighting condition, and designing the functions to compensate luminance in the third dimension. Use the rendering of the 3D objects, which is under the simulated lighting conditions, and the designed functions to compensate the luminance of the 3D texture images efficiently. The results of the experiment 2 are evaluated with the luminance difference and psychological experiment. Hung-Shing Chen Tzung-Han Lin 陳鴻興 林宗翰 2016 學位論文 ; thesis 110 zh-TW |
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碩士 === 國立臺灣科技大學 === 色彩與照明科技研究所 === 104 === Nowadays, the judgment of the 3D reconstructed object is generally cared about accuracy of the shape, but the quality of the face color is often neglected in 3D scanning field. The color information is one of the most important factors for people while evaluating the object. The face color comes from the recorded 3D texture images while 3D reconstructing. Therefore, this thesis focuses on solving the problem of the color information of the 3D texture images, and correcting the face color further. There are two experiments in this thesis. One is defined as correcting 3D texture images with the method of measuring standard of the color information, the other is defined as correcting the 3D texture images with the method of computer graphics. Both of the purposes of the experiments are correcting the color information of the 3D texture images. The purpose of the experiment 1 is correcting the color information of the 3D texture images with calibration charts and the measured values. The difference of the 3D texture images and the 2D images is the luminance and the color information in the third dimension. Therefore, the calibration ball is used for correcting the luminance and the color information in the third dimension. The results of the experiment 1 are compared with the color difference and evaluated the curves of the luminance distribution. The purpose of the experiment 2 is simulating reality lighting condition, and designing the functions to compensate luminance in the third dimension. Use the rendering of the 3D objects, which is under the simulated lighting conditions, and the designed functions to compensate the luminance of the 3D texture images efficiently. The results of the experiment 2 are evaluated with the luminance difference and psychological experiment.
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author2 |
Hung-Shing Chen |
author_facet |
Hung-Shing Chen Kai-Lin Zhan 詹凱琳 |
author |
Kai-Lin Zhan 詹凱琳 |
spellingShingle |
Kai-Lin Zhan 詹凱琳 Color Correction Methods of 3D Scanning Images |
author_sort |
Kai-Lin Zhan |
title |
Color Correction Methods of 3D Scanning Images |
title_short |
Color Correction Methods of 3D Scanning Images |
title_full |
Color Correction Methods of 3D Scanning Images |
title_fullStr |
Color Correction Methods of 3D Scanning Images |
title_full_unstemmed |
Color Correction Methods of 3D Scanning Images |
title_sort |
color correction methods of 3d scanning images |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/24wd2b |
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