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	Exploring Local and Overall Ordinal Information for Robust Feature Description 期刊论文 OAI收割 IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 卷号: 38, 期号: 11, 页码: 2198-2211 作者: Zhenhua Wang; Bin Fan; Gang Wang; Fuchao Wu \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2018/01/03 Feature Description Intensity Order Illumination Invariance Image Matching
	鲁棒的局部图像特征匹配方法学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院大学, 2014 作者: 王振华收藏 \| 浏览/下载：60/0 \| 提交时间：2015/09/02 特征检测特征描述特征匹配光照不变性仿射不变性 feature detection feature description feature matching illumination invariance affine invariance
	图像特征匹配研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011 作者: 樊彬收藏 \| 浏览/下载：43/0 \| 提交时间：2015/09/02 特征描述特征匹配重复性纹理直线匹配点线不变量旋转不变性光照不变性 feature description feature matching repetitive patterns line matching line-point invariant rotation invariance illumination invariance
	Color transfer and Retinex theory based illumination invariance 会议论文 OAI收割 International Conference on Information Computing and Automation, Hefei, China, December 20-22, 2007 作者: Sun J(孙静); Tang YD(唐延东) 收藏 \| 浏览/下载：20/0 \| 提交时间：2012/06/06 illumination invariance color transfer Retinex image preprocessing
	Target track system design based on circular projection (EI CONFERENCE) 会议论文 OAI收割 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：22/0 \| 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.