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International Conference on Optical Instruments and Technology - Optoelectronic Imaging and Processing Technology

作者： Liu Hai ying Wang Peng Zhu Hai bin Li Yan Zhang Shao jun 228 Plant China North Ind Grp Corp Changchun 130103 Peoples R China Tsinghua Univ Dept Precis Instruments & Mechanol Beijing 100084 Peoples R China TML Agr Stn Jiutai Jiutai 130117 Jilin Peoples R China

ISBN: (纸本)9781628418033

It has long been difficulties in aerial photograph to stitch multi-route images into a panoramic image in real time for multi-route flight framing CCD camera with very large amount of data, and high accuracy requirements. An automatic aerial image mosaic system based on GPU development platform is described in this paper. Parallel computing of sift feature extraction and matching algorithm module is achieved by using CUDA technology for motion model parameter estimation on the platform, which makes it's possible to stitch multiple CCD images in real-time. Aerial tests proved that the mosaic system meets the user's requirements with 99% accuracy and 30 to 50 times' speed improvement of the normal mosaic system.

关键词： CCD aerial camera stitch in real-time CUDA technology GPU sift algorithm

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High-resolution remote sensing image-based extensive deformation-induced landslide displacement field monitoring method

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International Journal of Coal Science & Technology 2015年第3期2卷 170-177页

作者： Shanjun Liu Han Wang Jianwei Huang Lixin Wu College of Resources and Civil Engineering NortheasternUniversity Shenyang 110819 China IOT Perception Mine Research Center China University ofMining and Technology Xuzhou 220116 China

Landslide is one of the multitudinous serious geological hazards. The key to its control and reduction lies on dynamic monitoring and early warning. The article points out the insufficiency of traditional measuring means applied for large-scale landslide monitoring and proposes the method for extensive landslide displacement field monitoring using high- resolution remote images. Matching of cognominal points is realized by using the invariant features of sift algorithm in image translation, rotation, zooming, and affine transformation, and through recognition and comparison of characteristics of high-resolution images in different landsliding periods. Following that, landslide displacement vector field can be made known by measuring the distances and directions between cognominal points. As evidenced by field application of the method for landslide monitoring at West Open Mine in Fushun city of China, the method has the attraction of being able to make areal measurement through satellite observation and capable of obtaining at the same time the information of large- area intensive displacement field, for facilitating automatic delimitation of extent of landslide displacement vector field and sliding mass. This can serve as a basis for making analysis of laws governing occurrence of landslide and adoption of countermeasures.

关键词： Landslide monitoring High-resolution remote sensing sift algorithm Deformation field

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Research on Binocular Vision Absolute Localization Method for Indoor Robots Based on Natural Landmarks

Research on Binocular Vision Absolute Localization Method fo...

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Chinese Automation Congress (CAC)

作者： An, Xuecheng Hong, Wei Xia, Hua Jilin Univ Coll Commun Engn Changchun 130022 Peoples R China

ISBN: (纸本)9781467371896

A method is put forward to extract feature points in the indoor ceiling corner as natural landmarks by using binocular visual system and to go further to achieve absolute localization for robot. Firstly, this method puts forward a kind of double threshold Features from Accelerated Segment Test (FAST) - Scale Invariant Feature Transform (sift) matching algorithm, in which FAST algorithm is applied to extract the feature points in the ceiling corner to reduce the number of feature points effectively. For each feature point, sift descriptor and matching algorithm is remained so that the advantages of the sift algorithm is inherited. And then the reasonable sampling rules are introduced to create natural landmark database, the sift descriptors of feature points in the ceiling corner and their 3-D world coordinates are saved into natural landmark database in offline mode, When robot walks, the feature points are identified by matching left image with all sift descriptors in database and then their world coordinates are obtained. In the meantime, the distances between the feature points and robot are measured by matching left image with the right one. Finally, the world coordinates of the robot are computed according to the principle of triangular localization. To demonstrate the effectiveness of a series of method proposed in this paper, we do the corresponding physical experiments. Experimental results show that indoor robot absolute localization method proposed in this paper has a good performance in real-time, reliability and accuracy.

关键词： binocular vision natural landmark robot absolute localization FAST algorithm sift algorithm

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Research on the algorithm of Image Matching based on Improved sift

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International Journal of Technology Management 2014年第8期 36-39页

作者： Xiangchen Qiao Zaozhuang Vocational College of Science & Technology TengzhouShandong277500 China

The paper analyze and improve the sift optimized algorithm, and proposes an image matching method for sift algorithm based on quasi Euclidean distance and KD-tree. Experiments show that this algorithm has matching more points, high matching accuracy, no repealed points and higher advantage of matching efficiency based on keeping the basic characteristics of sift algorithm unchanged, and provides precise matching point to generate precise image stitching and other related fields of the follow-up product. At the same time, this method was applied to the layout optimization and achieved good results.

关键词： Matching pretreatment sift algorithm quasi Euclidean distance image matching

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Research on the algorithm of Image Matching based on Improved sift

Research on the Algorithm of Image Matching based on Improve...

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2014 5th International Conference on Information Technology for Manufacturing Systems(ITMS 2014)

作者： Xiangchen Qiao Zaozhuang Vocational College of Science & Technology

The paper analyze and improve the sift optimized algorithm, and proposes an image matching method for sift algorithm based on quasi Euclidean distance and KD-tree. Experiments show that this algorithm has matching more points, high matching accuracy, no repeated points and higher advantage of matching efficiency based on keeping the basic characteristics of sift algorithm unchanged, and provides precise matching point to generate precise image stitching and other related fields of the follow-up product. At the same time, this method was applied to the layout optimization and achieved good results.

关键词： Matching pretreatment sift algorithm Quasi Euclidean distance Image matching

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Study on Improving Image Feature Points Detection and Matching Accuracy in Binocular Vision System

Study on Improving Image Feature Points Detection and Matchi...

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2015 International Industrial Informatics and Computer Engineering Conference(IIICEC 2015)

作者： Gang Tong Changcheng Wang Pan Wang Department of Automation and Electrical Engineering Qingdao University of Science & Technology

Image feature points detection and matching is the key to binocular vision system *** paper is to improve its matching *** the experiments,Harris algorithm,Susan algorithm and CSS algorithm were used on the same image to extract feature *** with each other,three methods showed different advantages in terms of extracting feature *** two methods were carried out in the feature points matching process,one method was based on Harris feature points detection while another method was based on sift *** results showed that sift algorithm had better matching effect,but matching accuracy remained to be further *** a result,we extended the search scope of the extreme points in Do G scale space of the sift algorithm and removed feature points around image *** the number of the detected points changed little,but its detecting accuracy was more *** with the effect of traditional sift algorithm,the matching accuracy has been significantly improved.

关键词： Image Matching Feature Points Detection sift algorithm Binocular Vision

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Remote Sensing Image Registration Using sift and Vegetation Index Analysis 7

Remote Sensing Image Registration Using SIFT and Vegetation ...

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7th International Congress on Image and Signal Processing (CISP)

作者： Lv, Buyun Zhao, Liaoying Li, Xiaorun Hangzhou Dianzi Univ Inst Comp Applicat Hangzhou Zhejiang Peoples R China Zhejiang Univ Coll Elect Engn Hangzhou 310003 Zhejiang Peoples R China

ISBN: (纸本)9781479958351

Aiming at the high accuracy and speed requirements of images registration for multiband data or hyperspectral data, a new method which combines scale invariant feature transform (sift) with vegetation index analysis is put forward. Firstly, feature points extracted by sift algorithm are classified into two sets -points on vegetation area and points on non-vegetation area, which is based on vegetation index;then the two sets of feature points are matched separately using spectral angle distance as the similarity measure. Transformation parameters are obtained by least square method after mismatched points are removed. Experimental results show that the proposed method achieves higher speed as well as good registration accuracy.

关键词： Image registration sift algorithm vegetation index spectral angle distance

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Extraction of Drift Direction and Speed of Sea Ice of the Huanghai and Bohai Sea Based on GOCI Satellite

Extraction of Drift Direction and Speed of Sea Ice of the Hu...

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2015 International Industrial Informatics and Computer Engineering Conference(IIICEC 2015)

作者： Shengwen Gong Zhuo Chen Xi Zhang Qingdao University of Science & Technology First Institute of Oceanography SOA

At present,GOCI satellite is the only means to monitor the drift of sea ice in a wide *** high temporal resolution makes it fit for monitoring Marine phenomenon and process in time *** improves the possibility of obtaining a high quality image in a short period of *** satellite is with great applied potentiality and *** order to use the information of GOCI satellite image effectively,Harris algorithm and sift algorithm are combined to extract the feature points of image of sea ice and match *** of drift direction and speed of sea ice of the Huanghai and Bohai Sea is realized in this paper.

关键词： Sea Ice Monitoring Satellite Remote Sensing Harris algorithm sift algorithm Feature Extraction Image Matching

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Study on the stitching interferometry for the surface profile measurement of a large aperture component

Study on the stitching interferometry for the surface profil...

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Conference on Dimensional Optical Metrology and Inspection for Practical Applications III

作者： Zhao, Weirui Qiu, Lirong Zhao, Weiqian Cao, Genrui Beijing Inst Technol Sch Optoelect Beijing 100081 Peoples R China

ISBN: (纸本)9781628410471

The stitching interferometry for the surface profile measurement of a large aperture component is studied. To analyze the overlapping region interferogram of the adjacent subapertures with Scale Invariant Feature Transform(sift) algorithm, the stitching parameters of the adjacent subapertures and then overall surface information of the tested component can be obtained. sift algorithm of subaperture positioning, interferogram processing, phase unwrapping, Zernike polynomials wavefront fitting and subaperture wavefront stitching programs are written. A principle experiment has been carried out. Compared with the measurement results between the stitching interferometry and full caliber testing, the deviation of RMS is less than 2nm.

关键词： Large aperture component subaperture stitching sift algorithm phase-shifting interferometry Zernike fitting

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Panorama Stitching Based on sift algorithm and Levenberg-Marquardt Optimization

Panorama Stitching Based on SIFT Algorithm and Levenberg-Mar...

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2010 International Colloquium on Computing,Communication, Control, and Management (CCCM2010)

作者： ZHONG Min College of Computer Information Engineering Jiangxi Normal University Nanchang,China ZENG Jiguo College of Computer Information Engineering Jiangxi Normal University Nanchang,China XIEXusheng College of Computer Information Engineering Jiangxi Normal University Nanchang,China

Panorama stitching algorithm based on scale invariant feature transform and Levenberg-Marquardt optimiza-tion is *** the source planar images to a cylind-rical surface is the first ***,correct matching feature pairs are detected between two images by sift and RANSAC algorithm. Finally the Levenberg-Marquardt algorithm is used for calculating the initial estimates of motion parameters. Experiment results show that this method is effective against the hand-held camera motion with small rotation around the optical axis,small horizontal and vertical movement.

关键词： panorama cylindrical projection sift algorithm Levenberg-Marquardt Optimization

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