caa a22 4500 605446814 CHVBK 20210128100129.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s11042-014-2002-6 doi (NATIONALLICENCE)springer-10.1007/s11042-014-2002-6 Depth map Super-Resolution based on joint dictionary learning [Elektronische Daten] [Li-Wei Liu, Liang-Hao Wang, Ming Zhang] Although Time-of-Flight (ToF) camera can provide real-time depth information from a real scene, the resolution of depth map captured by ToF camera is rather limited compared to HD color cameras, and thus it cannot be directly used in 3D reconstruction. In order to handle this problem, this paper proposes a novel compressive sensing (CS) and dictionary learning based depth map super-resolution (SR) method, which transforms a low resolution depth map to a high resolution depth map. Different from previous depth map SR methods, this algorithm uses a joint dictionary learning method with both low and high resolution depth maps, and this method also builds a sparse vector classification method which is used in depth map SR. Experimental results show that the proposed method outperforms state-of-the-art methods for depth map super-resolution. Springer Science+Business Media New York, 2014 Depth map nationallicence Super-resolution nationallicence Joint dictionary learning nationallicence Sparse expression nationallicence Liu Li-Wei Institute of Information and Communication Engineering, Zhejiang University, 38 zheda road, 310027, Hangzhou, China aut Wang Liang-Hao Institute of Information and Communication Engineering, Zhejiang University, 38 zheda road, 310027, Hangzhou, China aut Zhang Ming Institute of Information and Communication Engineering, Zhejiang University, 38 zheda road, 310027, Hangzhou, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/2(2015-01-01), 467-477 1380-7501 74:2<467 2015 74 11042 https://doi.org/10.1007/s11042-014-2002-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-2002-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Li-Wei Institute of Information and Communication Engineering, Zhejiang University, 38 zheda road, 310027, Hangzhou, China aut NATIONALLICENCE 700 1- Wang Liang-Hao Institute of Information and Communication Engineering, Zhejiang University, 38 zheda road, 310027, Hangzhou, China aut NATIONALLICENCE 700 1- Zhang Ming Institute of Information and Communication Engineering, Zhejiang University, 38 zheda road, 310027, Hangzhou, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/2(2015-01-01), 467-477 1380-7501 74:2<467 2015 74 11042