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	An effective method for laboratory acoustic emission detection and location using template matching 期刊论文 OAI收割 JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2022, 卷号: 14, 期号: 5, 页码: 1642 作者: Lei, Xinglin; Ohuchi, Tomohiro; Kitamura, Manami; Li, Xiaying; Li, Qi \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2023/08/02 Acoustic emission Template matching and location Waveform cross-correlation Grid search
	Binocular Vision Object Positioning Method for Robots Based on Coarse-fine Stereo Matching 期刊论文 OAI收割 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 562-571 作者: Wei-Ping Ma; Wen-Xin Li; Peng-Xia Cao \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2021/02/22 Object positioning stereo matching random fern normalized cross correlation binocular vision model.
	Comparison of Different Template Matching Methods of Automatic Stellar Spectrum Parameter Measurement 期刊论文 OAI收割 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 卷号: 33, 期号: 2, 页码: 558-561 作者: Liu Jie; Pan Jing-chang; Liu Meng; Wei Peng; Luo A-li 收藏 \| 浏览/下载：16/0 \| 提交时间：2016/11/16 Stellar spectrum parameter Template matching K-Nearest Neighbor (KNN) Cross correlation Spectra similarity Continuum normalization LAMOST
	Efficient normalized cross correlation calculation method for stereo vision based robot navigation 期刊论文 OAI收割 FRONTIERS OF COMPUTER SCIENCE IN CHINA, 2011, 卷号: 5, 期号: 2, 页码: 227-235 作者: Shen, YH (沈晔湖); Shen, YH (沈晔湖) 收藏 \| 浏览/下载：13/0 \| 提交时间：2012/08/24 normalized cross correlation (NCC) stereo matching integral image
	A method of searching for supernova candidates from massive galaxy spectra 期刊论文 OAI收割 SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2010, 卷号: 53, 期号: 10, 页码: 1928-1938 作者: Tu LiangPing; Luo ALi; Wu FuChao; Zhao YongHeng 收藏 \| 浏览/下载：28/0 \| 提交时间：2015/08/12 supernovae decomposition of galaxy spectrum sample decrease local outlier factor cross-correlation matching
	A method of searching for supernova candidates from massive galaxy spectra 期刊论文 OAI收割 SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2010, 卷号: 53, 期号: 10, 页码: 1928-1938 作者: Tu LiangPing; Luo ALi; Wu FuChao; Zhao YongHeng 收藏 \| 浏览/下载：20/0 \| 提交时间：2017/04/18 supernovae decomposition of galaxy spectrum sample decrease local outlier factor cross-correlation matching
	Study on epipolar geometry restoration of parallel binocular vision 会议论文 OAI收割 IEEE International Conference on Robotics and Biomimetics (ROBIO 2006), Kunming, China, December 17-20, 2006 作者: Gao HW(高宏伟); Wu CD(吴成东); Li B(李斌) 收藏 \| 浏览/下载：18/0 \| 提交时间：2012/06/06 binocular vision epipolar geometry accurate matching connotative constraint gray-level cross-correlation
	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：21/0 \| 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.