Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Zhao, Rongchun"'
Publikováno v:
In Computer Vision and Image Understanding 2008 109(3):227-243
Publikováno v:
In Applied Mathematics and Computation 2007 185(2):857-868
Publikováno v:
In Computer Vision and Image Understanding 2002 85(2):100-116
Publikováno v:
Chinese Journal of Aeronautics. 22(1):70-74
In order to obtain a large number of correct matches with high accuracy, this article proposes a robust wide baseline point matching method, which is based on Scott's proximity matrix and uses the scale invariant feature transform (SIFT). First, the
Publikováno v:
Chinese Journal of Lasers. 35:947-951
Publikováno v:
Wuhan University Journal of Natural Sciences. 11:1797-1800
In this paper, we present an adaptive anomaly detection framework that is applicable to network-based intrusion detection. Our framework employs fuzzy cluster algorithm to detect anomalies in an online, adaptive fashion without a priori knowledge of
Publikováno v:
Pattern Recognition Letters. 26:1059-1068
Segmentation of nontrivial images is one of the most important tasks in image processing. It is easy for human being, but extremely difficult for computers. With the purpose of finding optimal segmentation algorithm for every image through learning f
Publikováno v:
Journal of Electronics (China). 21:426-431
The proposed algorithm relies on a group of new formulas for calculating tangent slope so as to address angle feature of edge curves of image. It can utilize tangent angle features to estimate automatically and fully the rotation parameters of geomet
Publikováno v:
ETRA
With the aim to provide an inexpensive but high performance real-time head mounted eye tracker, named EyeSecret, we present a novel system derived from openEyes which share the common idea to integrated Eye tracker to everyday life and reach its full
Autor:
Yuan Qi, Zhao Rongchun
Publikováno v:
2007 8th International Conference on Electronic Measurement and Instruments.
Simple MRF model based method usually suffers from less inaccuracy because it assumes that each subimage used to estimate features is homogeneous. In this paper, an adaptive algorithm based on the fields correlation Markov random field (CMRF) model i