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检索条件"主题词=Sift Algorithm"

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Research on Fast Mosaic Method of UAV Aerial Images Based on Motion Trajectory

Research on Fast Mosaic Method of UAV Aerial Images Based on...

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作者： Sun Ye Wuhan Armament Sergeant School

An approach for fast stitching of UAV images based on motion trajectory is proposed for high speed aerial photogrammetry in unfamiliar areas with few control points. It uses the method based on images to determine the motion trajectory and rapidly select the UAV trajectory images. The sift-based image feature matching algorithm is applied to extract feature matching points. This approach can effectively solve image stitching problems, such as translation, rotation, scaling, illumination, occlusion and different viewing angles.

关键词： Unmanned Aerial Vehicle （UAV） fast image stitching motion trajectory sift algorithm

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Augmented Reality Registration Method Based on Natural Feature Points

Augmented Reality Registration Method Based on Natural Featu...

引用

2017 17th IEEE International Conference on Communication Technology (ICCT 2017)

作者： Qianyu Li Yingxiang Li Juan Tian Dehao Ren Chengdu University of Information Technology

A three-dimensional registration method based on natural feature points is presented, which is applied to the augmented reality system. Firstly, several common feature extraction algorithms have been compared in this paper, and the sift algorithm is applied to improve the matching accuracy as a descriptor matching method. And then the data of ten key image frames is used to reconstruct the 3 D structure of the scene. When the real-time image data is input, the key frame which mostly matches the current image is selected, and the image matching method based on key frame is used to obtain the camera pose. Finally, improved Lucas-Kanade method for real-time tracking is adopted, not only maintaining the accuracy of registration but reducing the system computing time. The experimental results shown that the method achieves a effect of real-time tracking and accurate registration, and can keep a better registration precision.

关键词： three-dimensional registration natural feature points sift algorithm augmented reality

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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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Research on Improved Image Registration algorithm Based on PROSAC algorithm

Research on Improved Image Registration Algorithm Based on P...

引用

2019第十一届数字图像处理国际会议

作者： Xiangyu Li Tianjie Lei Chun Zhao Jintao Huang Man Yuan Jiabao Wang China Institute of Water Resources and Hydropower Research(IWHR) North China University of Water Resources and Electric Power(NCWU)

In order to solve the problems of poor stability and multiple mismatching points in image registration,most scholars have used Random Sample Consensus(RANSAC) algorithm to optimize the matching ***,because of the randomness of the RANSAC algorithm itself,the matching algorithm has poor stability,low registration efficiency and poor *** solve this problem,an improved sift(Scale-invariant feature transform) image registration optimization algorithm based on PROSAC(Progressive Sampling Consensus) was *** experimental results showed that the proposed image registration optimization algorithm could effectively solve the problems of error matching and low efficiency in the process of image *** the same image to test,the average correct registration rate of the traditional RANSAC improved sift algorithm was 82%,and the average running time was 36 *** average correct registration rate of the sift image registration algorithm based on PROSAC improved sift image registration algorithm was 86.67%,the average running time was 26.51 seconds,and the running efficiency was increased by 36%.Therefore,the improved sift image registration algorithm based on PROSAC has higher robustness,can meet the needs of fast image mosaic,and has broad application prospects.

关键词： Image stitching sift algorithm RANSAC algorithm PROSAC algorithm

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Design and Application of PET Bottle Defect Detection and Control System 22

Design and Application of PET Bottle Defect Detection and Co...

引用

Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering

作者： Dan Li Qiaoni Zhao Jinyan Shi Yongchao Xie Hunan Railway Professional Technology College China

ISBN: (纸本)9781450396806

According to the demand of PET bottle defect detection in actual production, the framework of the whole detection system is analyzed, and according to the production demand, each module of the PET bottle defect detection and control system is designed. Firstly, the hardware part of the detection system is designed. The hardware system is divided into several subsystems, such as mechanical transmission system, image acquisition system and bottle removal system. Through the establishment of the hardware platform, the system can realize the functions of automatic image collection, automatic analysis and judgment, and automatic elimination of unqualified bottles. Secondly, sift algorithm is used to design the software system to achieve accurate image matching and automatic detection of PET bottle defects. Finally, the system is applied to the actual PET bottle production line, the research and experimental results show that: the system for PET bottle defect detection accuracy of 99%.

关键词： sift algorithm Image recognition Automatic detection

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Study on Application of Scale Invariant Feature Transform algorithm on Automated Geometric Correction of Remote Sensing Images

Study on Application of Scale Invariant Feature Transform Al...

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第六届国际计算机与计算技术在农业中的应用研讨会

作者： Hui Deng Limin Wang Jia Liu Dandan Li Zhongxin Chen Qingbo Zhou Key Lab.of Resources Remote Sensing & Digital Agriculture Ministry of Agriculture Institute of Agriculture Resources and Regional Planning Chinese Academy of Agricultural Sciences

In recent years,data collected from remote sensing satellite and aerophotography have been showing a geometric sequence increase.A method of Scale Invariant Feature Transform(sift) algorithm could be employed for the automatic geometric fine *** method could avoid the impact of the rotation and zooming of template matching during the image matching process,and it can also save the labor during the image processing *** on the sift algorithm,this paper proposes a two-step method,which firstly conducts coarse match on feature points,and then further conducts fine correction on the coarsely matched feature points by using the least squares *** result indicates that,this method is an effective automatic matching method for remote sensing images.

关键词： remote sensing image automatic geometric correction sift algorithm least squares

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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...

引用

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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Research on Image Registration and Mosaic Based on Vector Similarity Matching Principle

Research on Image Registration and Mosaic Based on Vector Si...

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2012 Fifth International Symposium on Computational Intelligence and Design [第五届计算智能与设计国际会议 ISCID 2012]

作者： Fan Bu Jia Qin Bin Xue Jianfeng Yang Key Laboratory of Spectrum Imaging Technology Xi'an Institute of Optics and Precision Mechanics CA Key Laboratory of Spectrum Imaging Technology Xi'an Institute of Optics and Precision Mechanics CA

Scale invariant feature transform (sift) is a better corner extraction algorithm, but there are still mismatching problems in the feature matching step. A new matching principle based on vector similarity is proposed and then it is compared with traditional matching principle. Firstly, the matching feature points are detected by the new principle. Mismatching points are further removed by using the mutual mapping theory. Secondly, transformation matrix is calculated by random sample consensus (RANSAC). Furthermore, the matrix is optimized by LevenbergMarquardt algorithm (L-M). Lastly, image mosaic is realized by image fusion. Experimental results indicate that compared with traditional matching principle, new matching principle has improved matching accuracy. It is able to apply new principle to image registration and image mosaic.

关键词： image mosaic sift algorithm feature matching vector similarity mutual mapping

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Improved Frame Difference algorithm Based on CNN for Moving Target Detection

Improved Frame Difference Algorithm Based on CNN for Moving ...

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第三十九届中国控制会议

作者： Xuanxuan Cui Weibin Zhang Dan Liu Nanjing University of Science and Technology School of Electronic and Optical Engineering Nanjing University of Science and Technology School of Computer Engineering Chang'an University School of Economics and Management

In order to improve the shortcomings of frame difference method in moving target detection and improve the accuracy and robustness of moving target detection,an improved frame difference method based on CNN is ***,in order to solve the problem of blind spot in autopilot and improve the safety of autopilot,sift algorithm is used to obtain the panoramic image of moving ***,frame difference method is adopted to obtain the foreground image,and then CNN is used to repair the foreground ***,sift is used to splicing the restored foreground image to obtain the panoramic image of the foreground *** simulation results show that the proposed algorithm is effective,efficient and accurate in the extraction and repair of moving *** the proposed method,a complete panoramic image of moving targets can be obtained.

关键词： Autopilot sift algorithm CNN Panoramic Image Object Contour Extraction

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