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	Complete Scene Reconstruction by Merging Images and Laser Scans 期刊论文 OAI收割 IEEE Transactions on Circuits and Systems for Video Technology, 2019, 卷号: x, 期号: x, 页码: 1-13 作者: Xiang Gao; Shuhan Shen; Lingjie Zhu; Tianxin Shi; Zhiheng Wang \| 收藏 \| 浏览/下载：71/0 \| 提交时间：2019/10/07 Complete Scene Reconstruction Image And Laser Scan Merging Laser Scanning Location Planning Image Synthesis And Matching
	基于仿生视觉和激光雷达的机器人复杂环境理解与运动决策学位论文 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: 刘希龙收藏 \| 浏览/下载：68/0 \| 提交时间：2015/09/02 移动机器人环境理解仿生视皮层激光雷达场景匹配 mobile robots environment understanding bionic visual cortex lidar scene matching
	基于GPU的大场景三维重建和物体建模学位论文 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, 2012 作者: 刘鑫收藏 \| 浏览/下载：120/0 \| 提交时间：2015/09/02 三维场景重建物体建模基于GPU的快速算法实现特征提取与匹配捆绑调整计算机集群 3D Scene Reconstruction object modeling GPU based fast implementation feature extraction and matching bundle adjustment cluster
	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.
	Rotation and scaling invariant feature lines for image matching (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 Image matching has been one of the most fundamental issues computer vision over the decades. In this paper we propose a novel method based on making use of feature lines in order to achieve more robust image matching. The feature lines have the properties of rotation and scaling invariance coined RIFLT(Rotation invariant feature line transform). Experimental results demonstrate the effectiveness and efficiency of the proposed method. Compare with the famous powerful algorithm Scale Invariant Feature Transform(SIFT) the proposed method is more insensitive to noise. And for certain sequence of images which contain clear lines the proposed method is more efficiency. Using the feature lines obtained by our method it is possible to matching two scene images with different rotation angles scale and light distort. 2011 IEEE.
	Edge direction dispersion and its application in automatic suitable-matching area selection 会议论文 OAI收割 2011 Chinese Control and Decision Conference, CCDC 2011, Mianyang, China, May 23-25, 2011 作者: Ding QH(丁庆海); Yu XR(余新荣); Luo HB(罗海波); Liu HM(刘红梅) 收藏 \| 浏览/下载：22/0 \| 提交时间：2012/06/06 imaging guidance scene matching local non-texture target tracking automatic suitable-matching area selection edge direction dispersion
	Scene matching based on directional keylines and polar transform (EI CONFERENCE) 会议论文 OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 Scene matching under complex background is a priority and difficulty in the field of computer vision it has the characteristics of rotation and scaling invariance commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes anti-light and anti-slight-distortion the image distortion exist applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation such as light and utilize the rotation-scale-invariance vectors to describe the extracted keylines change of gray levels this method includes three steps: keylines extraction perspective description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE. scaling and other differences which cause matching difficult. This paper aims to find a scene matching algorithm
	Disc varifocal mechanism to improve efficiency of scene matching navigation system (EI CONFERENCE) 会议论文 OAI收割 2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009, December 13, 2009 - December 14, 2009, Sanya, China 作者: Zhang C.-L. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 In order to meet special requests of optical imaging sensor in scene matching navigation system a disc varifocal mechanism is proposed for the flight vehicles of long flying time and range. Within small space occupied it can obtain real images with various resolutions. Moreover using plate traveling-wave Ultrasonic Motor as its driven motor can reduce energy loss improve control precision and ensure image obtaining being real-time and stable. Disc varifocal mechanism driven by plate traveling-wave Ultrasonic Motor is high-response and variation in load doesn't affect its performance parameter. Therefore applying disc varifocal mechanism in scene matching navigation system combing software and hardware can obviously improve the accuracy real-time and robust of scene matching navigation system. The experiment showed that when the weight of mechanism was 1.5kg the shortest starting was 0.6ms and the shortest shutoff was 0.5ms. 2009 IEEE.
	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.