Depth map super-resolution via low-resolution depth guided joint trilateral up-sampling

Liang Yuan; Xin Jin; Yangguang Li; Chun Yuan

doi:10.1016/j.jvcir.2017.04.012

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Depth map super-resolution via low-resolution depth guided joint trilateral up-sampling

Liang Yuan Xin Jin Yangguang Li Chun Yuan

Year: 2017 Journal: Journal of Visual Communication and Image Representation Vol: 46 Pages: 280-291 Publisher: Elsevier BV

DOI: 10.1016/j.jvcir.2017.04.012

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Keywords:

Depth map Upsampling Artificial intelligence Computer vision Computer science Fuse (electrical) Joint (building) Mathematics Image (mathematics) Algorithm

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Depth map super-resolution via low-resolution depth guided joint trilateral up-sampling

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