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pro vyhledávání: '"Jirui Lin"'
Autor:
Wei Zhu, Lanfen Li, Mingjing Deng, Bo Wang, Mengfei Li, Guofang Ding, Zuisu Yang, Dan Medynski, Xiaotao Lin, Ying Ouyang, Jirui Lin, Luyuan Li, Xinli Lin
Publikováno v:
FEBS Open Bio, Vol 8, Iss 10, Pp 1711-1721 (2018)
Native α1‐antitrypsin (AAT) is a 52‐kDa glycoprotein that acts as an antiprotease and is the physiological inhibitor of neutrophil serine proteases. The main function of AAT is to protect the lung from proteolytic damage induced by inflammation.
Externí odkaz:
https://doaj.org/article/25d10af1384041c0bae84f0cc973dbfb
Publikováno v:
Multimedia Tools and Applications. 79:19493-19507
Face recognition (FR) based on image set is an important topic in computer vision. There are numerous approaches that apply pose estimation method for single image face recognition, but few embed pose estimation method into image set-based face recog
Publikováno v:
Technology and Health Care
Background Video-based face recognition (VFR) is one of the frontier topics in the domain of computer vision, which aims to automatically track and recognize facial regions of interests (ROIs) in video sequences. Objective In videos with multiple fac
Autor:
Xinli Lin, Jirui Lin, Lu-Yuan Li, Ying Ouyang, Dan Medynski, Mengfei Li, Guofang Ding, Wei Zhu, Bo Wang, Lanfen Li, Mingjing Deng, Zuisu Yang, Xiaotao Lin
Publikováno v:
FEBS Open Bio
Native α1-antitrypsin (AAT) is a 52-kDa glycoprotein that acts as an antiprotease and is the physiological inhibitor of neutrophil serine proteases. The main function of AAT is to protect the lung from proteolytic damage induced by inflammation. AAT
Publikováno v:
Technology and Health Care
Background Video-based face recognition has attracted much attention owning to its wide range of applications such as video surveillance. There are various approaches for facial feature extraction. Feature vectors extracted by these approaches tend t
Publikováno v:
DICTA
This paper addresses the problem of binarizing multicolored character strings in scene images with complex backgrounds and heavy image degradations. The proposed method consists of three steps. The first step is combinatorial generation of binarized