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  • 标题:Assessment of Two Cheap Close-Range Feature Extraction Systems
  • 本地全文:下载
  • 作者:Ahmed Elaksher ; Mohammed Elghazali ; Ashraf Sayed
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2002
  • 卷号:XXXIV Part 3 A
  • 页码:97-101
  • 出版社:Copernicus Publications
  • 摘要:The use of non-metric cameras in photogrammetric applications is considered under very strict constraints due to their instability and lack of fiducial coordinate system. Architectural building documentation, monuments registration, and monitoring structure deformations are very essential close-range photogrammetric applications that require high accuracy and quick data acquisition. Using metric cameras, in such situations, is quite uneconomic and non-metric cameras are in favor. In order to accelerate the processing time of analyzing non-metric cameras digital techniques are preferred. The aim of this research is to investigate the use of two inexpensive techniques for object reconstruction using digital images produced by non-metric cameras. The first technique employs an inexpensive 35mm camera and a cheap scanner, while a low-cost digital camera is used in the second technique. Both techniques are thoroughly evaluated and the RMS errors are investigated. Results show that the 6-paramter transformation model is the best model to handle geometric errors introduced by scanners. The object reconstruction process results show that sub millimeter accuracy, in object coordinates, can be achieved if systematic errors are considered
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