RGB-D camera-based parallel tracking and meshing
Mixed and Augmented Reality（2011）
摘要
Compared to standard color cameras, RGB-D cameras are designed to additionally provide the depth of imaged pixels which in turn results in a dense colored 3D point cloud representing the environment from a certain viewpoint. We present a real-time tracking method that performs motion estimation of a consumer RGB-D camera with respect to an unknown environment while at the same time reconstructing this environment as a dense textured mesh.
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关键词
dense textured mesh,rgb-d camera,unknown environment,real-time tracking method,point cloud,consumer rgb-d camera,motion estimation,standard color camera,parallel tracking,imaged pixel,certain viewpoint,augmented reality,feature extraction,tracking,real time systems,ground truth,three dimensional,image reconstruction,real time
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