Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/118179
DC Field | Value | Language |
---|---|---|
dc.contributor | 地政系 | |
dc.creator | 甯方璽 | zh_TW |
dc.creator | Ning, Fang-Shii | en_US |
dc.creator | 李宜珊 | zh_TW |
dc.creator | Li, Yi-Shan | en_US |
dc.creator | 張晏碩 | zh_TW |
dc.creator | Chang, Yen-Shuo | en_US |
dc.date | 2017-11 | |
dc.date.accessioned | 2018-07-03T06:03:24Z | - |
dc.date.available | 2018-07-03T06:03:24Z | - |
dc.date.issued | 2018-07-03T06:03:24Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/118179 | - |
dc.description.abstract | Fisheye lens have many characteristics, including short focal length and wide angle of vision. However, fisheye images also have great barrel distortion. That makes image recognition, measurement, and producing panoramic image in free software difficultly. This study focuses on the deformation of fisheye lens, using Canon EOS 5D camera and Sigma 15mm f / 2.8 fisheye len, taking the calibration pattern. A program was designed in order to establish more robust image process. The spline method and the kriging method (9 methods totally) are used to interpolate the deformation model of fisheye len, and bilinear interpolation is used to repair the image. The results show that the linear mode kriging method calibrates the deformation of the fisheye len better than other interpolation methods. The corrected image’s average offset value is 35.368 (pixels), and the image can be corrected 85.98% maximum error value. | en_US |
dc.relation | 中正嶺學報, 46(2), 143-156 | |
dc.subject | Fisheye lens; Spline method; Kriging method | en_US |
dc.title | The Study of Fisheye Lens Distortion Model Estimation | en_US |
dc.title | 魚眼鏡頭變形模型推估之研究 | zh_TW |
dc.type | article | |
item.openairetype | article | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | 期刊論文 |
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