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Local optimized and scalable frame-to-model SLAM

Multimedia Tools Appl., no. 14 (2016): 8675-8694

Cited by: 6|Views6
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Abstract

In recent years, dense visual SLAM (Simultaneous Localization And Mapping) has been proved that it has lots of advantages on the accuracy of pose estimation compared to sparse features due to exploiting the more available information in image data. In this paper, we propose a scalable dense frame-to-model SLAM system based on KinectFusion...More

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