首页> 外文会议>第21届国际摄影测量与遥感大会(ISPRS 2008)论文集 >3D MODELING USING STRUCTURED LIGHT PATTERN AND PHOTOGRAMMETRIC EPIPOLAR GEOMETRY
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3D MODELING USING STRUCTURED LIGHT PATTERN AND PHOTOGRAMMETRIC EPIPOLAR GEOMETRY

机译:使用结构化的光图案和摄影图形的几何形状进行3D建模

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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.
机译:由于其广泛的应用范围,三维(3D)表面建模是最重要的摄影测量任务之一。它是针对基于图像的测距技术执行的。有两种主要的图像测距技术。第一个被称为有源投影仪测距技术,它使用单个摄像机和高聚焦投影仪。第二种方法(称为无源投影仪)是基于查找从同一物体表面获取的立体图像之间的对应关系。两种技术都使用投射结构光图案的投光器。在这项研究中,设计了彩色缝隙图案,以独特地标记和精确地提取沿缝隙边缘的图像点。根据下一个和前一个缝隙的色相值分配任何图像点的标签。沿着立体图像的对极线提取狭缝的边缘点,并同时进行标记。通过减去背景可以减少表面颜色的影响。设计的狭缝图案已使用平壁,工业零件和人脸应用。已经计算出三个不同表面的色点云。平壁上的计算点表示设计图案的可接受精度。点提取和标记算法的稳定性已针对工业零件进行了测试。人脸的点云显示了所提出算法的能力,该功能可以获取场景的真实色彩并将其分配给点云。所提出的狭缝图案减少了成像和点提取噪声的影响。

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