3D shape reconstruction from multifocus image fusion using a multidirectional modified Laplacian operator
Multifocus image fusion techniques primarily emphasize human vision and machine perception to evaluate an image, which often ignore depth information contained in the focus regions. In this paper, a novel 3D shape reconstruction algorithm based on nonsubsampled shearlet transform (NSST) microscopic multifocus image fusion method is proposed to mine 3D depth information from the fusion process.
Yan T, Hu Z, Qian Y, et al.
Adaptive Local Low-rank Matrix Approximation for Recommendation
Low-rank matrix approximation (LRMA) has attracted more and more attention in the community of recommendation. Even though LRMA-based recommendation methods (including Global LRMA and Local LRMA) obtain promising results, they suffer from the complicated structure of the large-scale and sparse rating matrix especially when the underlying system includes a large set of items with various types and a huge amount of users with diverse interests.