Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Yang‐Ting Chou"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-12 (2017)
Abstract Stereo matching of two distanced cameras and structured-light RGB-D cameras are the two common ways to capture the depth map, which conveys the per-pixel depth information of the image. However, the results with mismatched and occluded pixel
Externí odkaz:
https://doaj.org/article/3594e72defd24d74971ec8550bdf01cc
Autor:
Yang‐Ting Chou, Jar‐Ferr Yang
Publikováno v:
IET Computer Vision, Vol 10, Iss 1, Pp 18-27 (2016)
In real‐world recognition applications, several poor situations such as varying environment, limited image information, and irregular status would lead performance degradation in recognition. To overcome the unexpected effects, the authors propose
Externí odkaz:
https://doaj.org/article/0552116a9aa64524bdc7cebd6670dfdb
Publikováno v:
IET Computer Vision, Vol 8, Iss 5, Pp 382-390 (2014)
Owing to losing the detailed information, the low‐resolution problem in face recognition degrades the recognition performance dramatically. To overcome this problem, a novel face‐recognition system has been proposed, consisting of the extracted f
Externí odkaz:
https://doaj.org/article/b40ce050baab44a590cbce81c7b5705d
Autor:
Yang-Ting Chou, 周揚亭
102
In EFL context, learners of English are hardly exposed to ample language input. Television program, combining properties as those in reading and listening programs, is a source of motivating language input for EFL learners. However, televisi
In EFL context, learners of English are hardly exposed to ample language input. Television program, combining properties as those in reading and listening programs, is a source of motivating language input for EFL learners. However, televisi
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/7d2kak
Publikováno v:
IET Computer Vision. 8:382-390
Owing to losing the detailed information, the low-resolution problem in face recognition degrades the recognition performance dramatically. To overcome this problem, a novel face-recognition system has been proposed, consisting of the extracted featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::145d49306d3395c525d39847ab1f3758
https://doi.org/10.1049/iet-cvi.2012.0211
https://doi.org/10.1049/iet-cvi.2012.0211
Publikováno v:
IVMSP
Face recognition (FR) is an interesting topic in recent pattern recognition investigation. Especially, the accuracy of FR is the foremost concern for practical applications. Linear regression classification (LRC) is one of the most famous and effecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::498cd64a2d1a86b18e4da292836cfdef
https://doi.org/10.1109/ivmspw.2016.7528179
https://doi.org/10.1109/ivmspw.2016.7528179
Autor:
Yang-Ting Chou, Jar-Ferr Yang
Publikováno v:
ISCAS
Accuracy and speed of face recognition frameworks are two foremost concerns for practical applications in recent researches. Linear regression classification (LRC) is a very famous and powerful approach for face recognition; however, it cannot perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b5122f39302c858e442361e11ed115a
https://doi.org/10.1109/iscas.2016.7527306
https://doi.org/10.1109/iscas.2016.7527306
Autor:
Jar-Ferr Yang, Qingxiang Feng, Jeng-Shyang Pan, Weifeng Li, Yang-Ting Chou, Chun Yuan, Yicong Zhou
Publikováno v:
IEEE transactions on cybernetics. 47(2)
In this paper, a novel classifier, called superimposed sparse parameter (SSP) classifier is proposed for face recognition. SSP is motivated by two phase test sample sparse representation (TPTSSR) and linear regression classification (LRC), which can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::998399f6ab062f5cc0c1805e9e9d929e
https://pubmed.ncbi.nlm.nih.gov/26829813
https://pubmed.ncbi.nlm.nih.gov/26829813
Autor:
Yang-Ting Chou, Jar-Ferr Yang
Publikováno v:
TENCON 2015 - 2015 IEEE Region 10 Conference.
In the real-world face recognition tasks, the limited size of facial images and the lack amount of training data would lead to fail the work or degrade the recognition accuracy dramatically. Face recognition approaches such as principal component ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cc2c3191addf400741ebe7e0613b8c1
https://doi.org/10.1109/tencon.2015.7372961
https://doi.org/10.1109/tencon.2015.7372961
Publikováno v:
TENCON 2015 - 2015 IEEE Region 10 Conference.
To increase resolutions, image interpolation has been widely investigated for several years. Especially, the interpolation techniques for super resolution televisions become more and more important since the most video programs are only with high def
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ece34b213cd36e970596cb4862b8f66d
https://doi.org/10.1109/tencon.2015.7372960
https://doi.org/10.1109/tencon.2015.7372960