Zobrazeno 1 - 4
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pro vyhledávání: '"Lee-Kang Liu"'
Autor:
Truong Q. Nguyen, Lee-Kang Liu
Publikováno v:
IEEE Transactions on Image Processing. 25:4873-4887
The growth of depth sensing systems in this decade has facilitated a variety of applications in computer vision. Depending on the systematic configurations, both direct and indirect sensing techniques encounter image processing issues, such as hole f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50ef2c5b035cf221c7fc5c0a9a963db9
https://doi.org/10.1109/tip.2016.2598484
https://doi.org/10.1109/tip.2016.2598484
Autor:
Lee-Kang Liu, Truong Q. Nguyen
Publikováno v:
GlobalSIP
High-quality depth data is needed in many advanced computer vision as well as 3D and virtual reality applications. To surpass the hardware limitations, computational approaches are commonly exploited, and the solutions are from the intersection of tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55978f4b3b4ff7dbdb3967dd28918b58
https://doi.org/10.1109/globalsip.2015.7418219
https://doi.org/10.1109/globalsip.2015.7418219
Autor:
Lee-Kang Liu, Truong D. Nguyen
Publikováno v:
ICASSP
Disparity estimation is a key component in 3D image processing, yet dense estimation is a computationally intensive task. In this paper, we propose to estimate the dense disparities from a small set of spatial measurements. Observing that disparity m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::234d8109ed5754d5c9de7bdfcc22c552
https://doi.org/10.1109/icassp.2014.6854262
https://doi.org/10.1109/icassp.2014.6854262
Publikováno v:
IVMSP
Recently, the work on dense disparity map reconstruction from 5% sparse initial estimates containing edges in disparity, has been proposed [1]. Practically, however, edges in disparity is unknown unless a dense disparity map has already been generate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a847ab6c01eb2b11741dcac2bea10125
https://doi.org/10.1109/ivmspw.2013.6611899
https://doi.org/10.1109/ivmspw.2013.6611899