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Online Registration of Multi-view Range Images using Geometric and Photometric Feature Tracking

机译:使用几何和光度特征跟踪在线注册多视图范围图像

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摘要

An on-line 3D registration system is introduced to reconstruct a 3D model using a hand-held stereo camera. Multi-view range images, which are obtained from the hand-held stereo camera, are registered into a reference coordinate system simultaneously. For the coarse registration of a range image, we use the transformation of its previous frame and the centroid of foreground range images. After refining the coarse registration using a geometric feature matching technique, we use a modified KLT(Kanade-Lucas-Tomasi) tracker to match photometric features to enhance registration accuracy. We modify the KLT tracker to facilitate searching of correspondence from the results of the geometric registration. If a range image fails to register, we adjust the orientation of the camera while viewing a graphical user interaction system. After enough range images are registered, they are integrated into a 3D model in offline. Experimental results show that the proposed method can be used to reconstruct 3D models fast and accurately.
机译:引入了在线3D注册系统,以使用手持式立体摄像机重建3D模型。从手持式立体摄像机获得的多视场范围图像将同时注册到参考坐标系中。对于范围图像的粗略配准,我们使用其前一帧的变换和前景范围图像的质心。在使用几何特征匹配技术细化粗配准之后,我们使用改进的KLT(Kanade-Lucas-Tomasi)跟踪器来匹配光度特征,以提高配准精度。我们修改了KLT跟踪器,以便于从几何配准结果中搜索对应关系。如果范围图像无法配准,我们在查看图形用户交互系统时会调整相机的方向。注册足够的范围图像后,它们将脱机集成到3D模型中。实验结果表明,该方法可用于快速,准确地重建3D模型。

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