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—Conventional image matching methods hardly consider the location relationships between matching points, reducing the reliability and accuracy of matching results. A novel matching mode based on SIFT (scale-invariant feature transform) keypoints and multi-subregions information is proposed in this paper. The new strategy breaks the isolation between(More)
The performance of existing approaches to the recovery of frequency-sparse signals from compressed measurements is limited by the coherence of required sparsity dictionaries and the discretization of frequency parameter space. In this paper , we adopt a parametric joint recovery-estimation method based on model selection in spectral compressive sensing.(More)
—We propose a novel 6-degree-of-freedom (DoF) visual simultaneous localization and mapping (SLAM) method based on the structural regularity of man-made building environments. The idea is that we use the building structure lines as features for localization and mapping. Unlike other line features, the building structure lines encode the global orientation(More)