LRSLAM couples CP decomposition for geometry with a new Six-axis decomposition for appearance, yielding a dense RGB-D SLAM with linear memory growth and accuracy competitive with ESLAM.
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LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System
LRSLAM couples CP decomposition for geometry with a new Six-axis decomposition for appearance, yielding a dense RGB-D SLAM with linear memory growth and accuracy competitive with ESLAM.