Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Chin Seng Chua"'
Publikováno v:
RSC Advances. 6:19452-19458
Yb-doped WO3 photocatalysts were prepared by co-sputtering Yb and WO3 on FTO glass and then sintering at elevated temperatures in air. At sintering temperatures between 450 and 550 °C, the photocurrent densities of Yb-doped WO3 photocatalysts were h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f51b5d7317bd29e8aaf97d321c182b1
https://doi.org/10.1039/c5ra26254b
https://doi.org/10.1039/c5ra26254b
Publikováno v:
Neurocomputing. 171:664-672
For feature extraction, the dimensionality of the feature space is usually much larger than the size of training set. This is known as under sample problem. At this time, local structure is more important than global structure. In this paper, localit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0be21b589b6ceaca951405b7eb4a681c
https://doi.org/10.1016/j.neucom.2015.07.076
https://doi.org/10.1016/j.neucom.2015.07.076
Autor:
Kristo, Chin Seng Chua
Publikováno v:
Journal of Visual Communication and Image Representation. 29:79-88
Display Omitted Detailed investigation of the effectiveness of traditional SPM scheme.Utilizes overlapping spatial window concept for broader context.Learning of the optimal spatial window arrangement for recognition.Further learning of the arrangeme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e29fddfb9b386681a0ea8158ad31c64
https://doi.org/10.1016/j.jvcir.2015.02.005
https://doi.org/10.1016/j.jvcir.2015.02.005
Autor:
Chin-Seng Chua, Gede Putra Kusuma
Publikováno v:
Image and Vision Computing. 29:306-316
Most of the existing approaches of multimodal 2D+3D face recognition exploit the 2D and 3D information at the feature or score level. They do not fully benefit from the dependency between modalities. Exploiting this dependency at the early stage is m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec9ce385b7e2e2a0784d4eb351bb37c7
https://doi.org/10.1016/j.imavis.2010.12.003
https://doi.org/10.1016/j.imavis.2010.12.003
Autor:
Ying Ren, Chin Seng Chua
Publikováno v:
Image and Vision Computing. 26:1530-1539
This paper addresses the issue of color model adaptation and color-based object tracking in a dynamic scene. Under different environmental conditions such as illumination changes, a static color model is inadequate for the purpose of color-based obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04b489aba75206d08afa92ec77faed37
https://doi.org/10.1016/j.imavis.2008.04.023
https://doi.org/10.1016/j.imavis.2008.04.023
Autor:
Jiang Li, Chin-Seng Chua
Publikováno v:
Image and Vision Computing. 25:544-552
Robust tracking of non-rigid objects in a dynamic environment is a challenging task. This paper presents a particle filter solution for non-stationary color tracking using a transductive local exploration algorithm. The target model is represented by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b644acf20a6f0e074a1cbb231961f5b
https://doi.org/10.1016/j.imavis.2006.05.001
https://doi.org/10.1016/j.imavis.2006.05.001
Autor:
Chin-Seng Chua, Yingjie Wang
Publikováno v:
Image and Vision Computing. 24:176-185
This paper presents a recognition system that is invariant to both viewing directions and facial expressions. This system is based on both 3D range data as well as 2D grey-level facial images. An irregular 2D mesh labeled by 12 landmarks and a 3D reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4e5ec12cc537767cb0e403410b8939f
https://doi.org/10.1016/j.imavis.2005.09.025
https://doi.org/10.1016/j.imavis.2005.09.025
Autor:
Xiao-Hui Liu, Chin-Seng Chua
Publikováno v:
Image and Vision Computing. 24:166-175
To automatically recognize multi-agent activities is a highly challenging task due to the complexity of the interactions between agents. The difficulties in this task stem from two aspects: firstly, the feature vectors derived from input data are of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df5a6720336823f8570df45871302643
https://doi.org/10.1016/j.imavis.2005.09.024
https://doi.org/10.1016/j.imavis.2005.09.024
Autor:
Yingjie Wang, Chin-Seng Chua
Publikováno v:
Image and Vision Computing. 23:1018-1028
To recognize faces with different facial expressions or varying views from only one stored prototype per person is challenging. This paper presents such a system based on both 3D range data as well as the corresponding 2D gray-level facial images. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b21efd316f02fdfd5c16e21cbc9b48e6
https://doi.org/10.1016/j.imavis.2005.07.005
https://doi.org/10.1016/j.imavis.2005.07.005
Publikováno v:
Machine Vision and Applications. 13:332-343
This paper proposes a new background subtraction method for detecting moving foreground objects from a nonstationary background. While background subtraction has traditionally worked well for a stationary background, the same cannot be implied for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e52158d7e498ae5046bf272b0b43cba6
https://doi.org/10.1007/s00138-002-0091-0
https://doi.org/10.1007/s00138-002-0091-0