中国开放科研知识云: 检索

A robust method to recognize critical configuration for camera calibration 期刊论文
IMAGE AND VISION COMPUTING, 2006, 卷号: 24, 期号: 12, 页码: 1313-1318
作者: Wu, Yihong; Hu, Zhanyi

收藏 | 浏览/下载：14/0 | 提交时间：2015/11/07

camera calibration invariant critical configuration

Search for w ' boson production in the w ' -> t(b)over-bar decay channel 期刊论文
Physics letters b, 2006, 卷号: 641, 期号: 6, 页码: 423-431
作者: Abazov, V. M.; Abbott, B.; Abolins, M.; Acharya, B. S.; Adams, M.

收藏 | 浏览/下载：46/0 | 提交时间：2019/04/23

Analysis of 10,000 ests from lymphocytes of the cynomolgus monkey to improve our understanding of its immune system 期刊论文
Bmc genomics, 2006, 卷号: 7, 页码: 14
作者: Chen, Wei-Hua; Wang, Xue-Xia; Lin, Wei; He, Xiao-Wei; Wu, Zhen-Qiang

收藏 | 浏览/下载：15/0 | 提交时间：2019/05/10

Target track system design based on circular projection (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Song H.-J.; Zhu M.; Hu S.; Shen M.-L.

收藏 | 浏览/下载：14/0 | 提交时间：2013/03/25

Template matching is the process of searching the present and the location of a reference image or an object in a scene image. Template matching is a classical problem in a scene analysis: given a reference image of an object decide whether that object exists in a scene image under analysis and find its location if it does. The template matching process involves cross-correlating the template with the scene image and computing a measure of similarity between them to determine the displacement. The conventional matching method used the spatial cross-correlation process which is computationally expensive. Some algorithms are proposed for this speed problem such as pyramid algorithm but it still can't reach the real-time for bigger model image. Moreover the cross-correlation algorithm can't be effective when the object in the image is rotated. Therefore the conventional algorithms can't be used for practical purpose. In this paper an algorithm for a rotation invariant template matching method based on different value circular projection target tracking algorithm is proposed. This algorithm projects the model image as circular and gets the radius and the sum of the same radius pixel value. The sum of the same radius pixel value is invariable for the same image and the any rotated angle image. Therefore this algorithm has the rotation invariant property. In order to improve the matching speed and get the illumination invariance the different value method is combined with circular projection algorithm. This method computes the different value between model image radius pixel sum and the scene image radius pixel sum so that it gets the matching result. The pyramid algorithm also is been applied in order to improve the matching speed. The high speed hardware system also is been design in order to meet the real time requirement of target tracking system. The results show that this system has the good rotate invariance and real-time property.

A novel starting-point-independent wavelet coefficient shape matching (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Hu S.; Zhu M.; Wu C.; Song H.-J.

收藏 | 浏览/下载：12/0 | 提交时间：2013/03/25

In many computer vision tasks in order to improve the accuracy and robustness to the noise wavelet analysis is preferred for the natural multi-resolution property. However the wavelet representation suffers from the dependency of the starting point of the sampled contour. For overcoming the problem that the wavelet representation depends on the starting point of the sampled contour the Zernike moments are introduced and a novel Starting-Point-lndependent wavelet coefficient shape matching algorithm is presented. The proposed matching algorithm firstly gains the object contours and give the translation and scale invariant object shape representation. The object shape representation is converted to the dyadic wavelet representation by the wavelet transform. And then calculate the Zernike moments of wavelet representation in different scales. With respect to property of rotation invariant of Zernike moments consider the Zernike moments as the feature vector to calculate the dissimilarity between the object and template image which overcoming the problem of dependency of starting point. The experimental results have proved the proposed algorithm to be efficient precise and robust.

An affine invariant of parallelograms and its application to camera calibration and 3D reconstruction 期刊论文
COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS, 2006, 卷号: 3952, 页码: 191-204
作者: Wu, FC

收藏 | 浏览/下载：9/0 | 提交时间：2015/11/08

Detecting critical configuration of six points 期刊论文
COMPUTER VISION - ACCV 2006, PT II, 2006, 卷号: 3852, 页码: 447-456
作者: Wu, YH; Hu, ZY; Narayanan, PJ; Nayar, SK; Shum, HY

收藏 | 浏览/下载：10/0 | 提交时间：2015/11/06

Relative radiometric correction for multitemporal TM images EI期刊论文
2006
Zhang You-Shui; Feng Xue-Zhi; Zhou Cheng-Hu

收藏 | 浏览/下载：12/0 | 提交时间：2012/06/11

Land use Principal component analysis Radiometry Regression analysis Remote sensing

A hybrid controller based on invariant manifolds for the stabilization of chained form systems 会议论文
2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006, June 25, 2006 - June 28, 2006
作者: Cai, Hua; Li, Sheng; Hu, Weili

收藏 | 浏览/下载：7/0 | 提交时间：2019/12/31

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