Research of Automatic 3D Stereo Object Scanning System Based on Structured Light
| Autor: | Chien-Te Lu, 呂建德 |
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| Rok vydání: | 2009 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 97 This paper provides an approach to scanning a real object by Structured Light and reach 3D coordinate by digital camera and DLP projector. Camera shoots composes by lens and it brings the image distortion of capturing picture. Therefore, we must use non-linear correction to solve this issue. The image must be corrected before calculating the 3D coordinate of objects. Moreover, Color distortion is also happened on common projectors. Colors of projector are composed with base-colors which filtered by Color Wheel. Some colors are not perfect with the RGB ratio from projector. That is why we need to correct the colors used by projector. Thus, we need to adjust the RGB ratio of each color to ideal values. The coordinates of object surface are computed with corresponding of camera and projector. We use the colors Red、Green、Blue、Yellow、Cyan、Magenta and white. Assign the number 1~7 to each color and use permutation coding to generate the pattern. Beam the pattern on object surface by projector and capture the picture by digital camera. Then obtain the 3D coordinate information of object from the corresponding of camera and projector. The pattern is composed with Color Groups which contents some color stripes. We need to decode the color groups by color stripes of scan line. Obtain the sequence of each color stripe of current color group and reach the Index of color group. The color stripes index number can be obtained by offset value with the color group index. Then transfer the index numbers of stripes to angles. Index numbers of stripes are implied in each color group of pattern. This information can be obtained by pattern decoding. In order to get the information, we use the Hue value to determine the number of color. Hue detection is better than RGB approach because Hue value doesn’t include the Luminance information. That means we can reduce the effect of intensity that reflects from non-uniform object surface. Pattern coding by permutation also can reduce the Error Rate when color stripes lost in a single color group. We can say it provides the Fault Tolerance ability and reduces the overhead of computing. The result of resolution and performance of Permutation Coding is better than other approaches in the same strategies. We increase 46% resolution which is more than De Brujin 3D scanning of Spatial Neighborhood. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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