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	Characteristic point match algorithm based on the SURF in binocular stereo vision (EI CONFERENCE) 会议论文 OAI收割 5th International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2012, November 1, 2012 - November 3, 2012, Tianjin, China 作者: Wang L.; Wang L.; Wang L.; Yang L.; Yang L. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 One of the main components of the computer vision is 3D reconstruction. Extracts and the match based on two-dimensional picture characteristic point is the 3D reconstruction technology core. Taking binocular stereoscopic vision theory as a foundation through extracts the characteristics of SURF based on the multi-scale analysis this feature has specific scale reproducibility put the epipolar constraints and disparity constraints as conditions judgement to specific screening it is greatly reduced the search range. The experiment use the matching method for three different actual scenes the results shows that the method can enhance the image matching speed and precision and can get more precise dense parallax used for reconstruction complete scene. 2012 IEEE.
	Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE) 会议论文 OAI收割 2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico 作者: Liu Y.; Liu Y.; Liu Y. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 Image registration is a key technique in pattern recognition and image processing and it is widely used in many application areas such as computer vision remote sensing image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then the well match points are used to estimate the best affine transform parameters by least squares minimization. At last the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.
	Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE) 会议论文 OAI收割 2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China 作者: Wang X.; Wang X.; Wang X. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 Using of SIFT algorithm in the image of teeth model can detect the features of the teeth image effectively. In this approach first search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third assign one or more orientations to each keypoint location based on local image gradient directions. Last measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods this method can detect the features of the teeth model effectively and offer some available parameters for 3D reconstruction of the teeth model. the authors.
	A REMOTE SENSING IMAGERY AUTOMATIC FEATURE REGISTRATION METHOD BASED ON MEAN-SHIFT 会议论文 OAI收割 2012 Ieee International Geoscience and Remote Sensing Symposium, New York Yang, Jian; Huang, Qingqing; Wu, Bin; Chen, Jiansheng 收藏 \| 浏览/下载：22/0 \| 提交时间：2014/12/07 Automatic Registration Invariance Feature Feature Match SIFT Mean-Shift
	A matching algorithm on statistical properties of Harris corner (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Information and Automation, ICIA 2011, June 6, 2011 - June 8, 2011, Shenzhen, China 作者: He B. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 The fundamental goal of target recognition and video tracking is to match target template with source image. Most matching methods are based on image intensity or multi-feature points. And the latter method is more popular for its high accuracy and small calculation. Image Registration Based on Feature Points focus on effective feature extraction of image points and paradigm. Harris corner in the image rotation gray noise and viewpoint change conditions has an ideal match results is more recent application of one feature point. This paper extract the Harris corner deviation and covariance firstly experiments show that the two features exclusive then applied them to image registration for the first time. A set of actual images have shown this proposed method not only overcomes the complicated background gray uneven distribution problems but also pan and zoom the image has a good resistance. 2011 IEEE.
	Image registration based on log-polar transform and SIFT features (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computational and Information Sciences, ICCIS2010, December 17, 2010 - December 19, 2010, Chengdu, Sichuan, China 作者: Liu Y.; Liu Y.; Liu Y. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 This paper describes a novel image registration method that combines log-polar transform and SIFT to recover similarity transformations (rotation/ scale/ translation).We extracts SIFT feature points in the two images firstly. Then we use threshold Euclidean distance to coarsely match the feature points. After that the log-polar transform is applied to compute the rotation and scale parameters. And we can obtain the translation parameter by the location relationship of the feature points. 2010 IEEE.
	图像对应点确定及其应用学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2007 万崇玮收藏 \| 浏览/下载：79/0 \| 提交时间：2015/09/02 对应点图像匹配局部特征 SIFT 匹配扩散视频镜头检测遥感影像配准 Point correspondence Image matching Local feature SIFT Match propagation Video shot detection Remote sensed image registration
	嵌入式环境下低配置指纹识别技术研究学位论文 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, 2006 作者: 谢卫华收藏 \| 浏览/下载：34/0 \| 提交时间：2015/09/02 模糊逻辑方向权重滤波器新脊线特征方向比对嵌入式指纹应用低内存算法 Fuzzy logic Orientation power filter New ridge line feature Orientation match Embedded algorithm application Low-memory algorithm