Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Chuan-Cai Liu"'
Publikováno v:
The Journal of Engineering (2017)
The objective function of canonical correlation analysis (CCA) is equivalent to minimising an L(2)-norm distance of the paired data. Owing to the characteristic of L(2)-norm, CCA is highly sensitive to noise and irrelevant features. To alleviate such
Externí odkaz:
https://doaj.org/article/d6153909076740c6beb08be5cb2acbfb
Publikováno v:
Electronics Letters. 52:1524-1526
Parallax handling is a challenging task for image stitching. Existing image stitching methods are quite sensitive to large parallax. One common phenomenon, e.g. is the ghosting. In this Letter, a flexible building facade stitching method that allows
Publikováno v:
Applied Mechanics and Materials. :1561-1564
This paper addresses a novel global appearance-based approach to recognize objects in images by using multi-scale Gaussian derivatives (GDs). Because the GDs distributions of filtered images are almost picked, this obstacles obtaining discriminative
Publikováno v:
Pattern Recognition. 46:434-448
We present an object recognition approach using co-occurrence similarities of Gabor magnitude textures in this paper. A novel image descriptor, multichannel Gabor magnitude co-occurrence matrices (MGMCMs), is designed to characterize Gabor textures f
Autor:
Du-Zhen Zhang, Chuan-Cai Liu
Publikováno v:
ITM Web of Conferences; 2017, Vol. 12, p1-6, 6p, 4 Color Photographs, 3 Black and White Photographs, 2 Diagrams
Autor:
Chuan-Cai Liu, Du-Zhen Zhang
Publikováno v:
ITM Web of Conferences, Vol 12, p 05015 (2017)
Traditional saliency-based attention theory supposed that bottom-up and top-down factors combine to direct attentional behavior. This dichotomy fails to explain a growing number of cases in which neither bottom-up nor top-down can account for strong
Autor:
Chuan-Cai Liu, Jian Zou
Publikováno v:
CIT
A novel texture classification method of matching co- occurrence matrices (CMs) on statistical manifold is presented. The manifold framework is stemmed from the assumption that the co-occurred pixel pairs of a texture image under a specific parameter
Publikováno v:
International Journal of Data Mining, Modelling and Management. 3:361
The local image structure can be robustly represented by multi-scale Gaussian derivatives (GDs) or the derived differential features. However, the high-dimensional nature of concatenated global features makes it hard to be applied directly. To utilis
Autor:
Cai-rong Zhao, Chuan-cai Liu
Publikováno v:
2010 Chinese Conference on Pattern Recognition (CCPR); 2010, p1-5, 5p
Autor:
Jian Zou, Chuan-Cai Liu
Publikováno v:
2010 IEEE 10th International Conference on Computer & Information Technology (CIT); 2010, p1-7, 7p