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  • 标题:3D Modeling Using Structured Light Pattern and Photogrammetric Epipolar Geometry
  • 本地全文:下载
  • 作者:M. Mazaheri ; M. Momeni
  • 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:2008
  • 卷号:XXXVII Part B3b
  • 页码:87-90
  • 出版社:Copernicus Publications
  • 摘要:Three Dimensional (3D) Surface Modeling is one of the most important photogrammetric tasks due to its spread range of applications. It is performed toward image based ranging techniques. There are two main image ranging techniques. The first one, which is named active projector ranging technique, uses a single camera and high focusing projector. The second approach (which is called passive projector) is based on finding correspondence between stereo images taken from same object surface. Both the techniques use a light projector which projects a structured light pattern. In this study, a color slits pattern have been designed to uniquely labeling and precisely extracting the image points along slits edges. The label of any image point is assigned according to hue value of next and previous slits. Edge points of slits are extracted along the epipolar lines of stereo images and labeled simultaneously. The effects of surface color have been reduced by subtracting the background. The designed slit pattern has been applied using a flat wall, industrial part and human face. The color point clouds of the three different surfaces have been calculated. The calculated points on the flat wall have represented an acceptable accuracy of the designed pattern. The stability of the point extraction and labeling algorithm has been tested for industrial part. The point cloud of the human face shows the capability of the proposed algorithm to get and assign the true color of the scene to the point cloud. The proposed slit pattern has reduced the effects of imaging and point extraction noises
  • 关键词:3D modeling; Digital Surface models; Structured Light; Epipolar Geometry; Industrial Photogrammetry; Point Cloud
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