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检索条件"主题词=Sift Algorithm"

共 129 条记录，以下是71-80 订阅

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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...

引用

5th International Symposium on Computational Intelligence and Design (ISCID)

作者： Qin, Jia Yang, Jianfeng Xue, Bin Bu, Fan Chinese Acad Sci Xian Inst Opt & Precis Mech Key Lab Spectrum Imaging Technol Xian Peoples R China

ISBN: (纸本)9780769548111

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 Levenberg-Marquardt 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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Integer Gaussian Convolution with Cache Memory for Real-time Processing of the Scale Invariant Feature Transform algorithm

Integer Gaussian Convolution with Cache Memory for Real-time...

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International Forum on Strategic Technology

作者： Su, Le Tran Ghang, Phil Jung Lee, Jong Soo Univ Ulsan Sch Comp Engn & Informat Technol Ulsan 680749 South Korea

ISBN: (纸本)9781424435890

The Gaussian smoothing operator is a 2-D convolution operator which is used to blur images and remove detail and noise in the sift (Scale Invariant Feature Transform) algorithm. For real-time processing of sift, we use our integer Gaussian filtering and cache memory managing schemes using SSE instructions. Single Instruction Multiple Data (SIMD) Extensions are currently available in new Pentium processors. We optimize the integer Gaussian filter mask for better precision in key-points detection and compare the result of applying the scheme with those obtained by using the floating processing technique. We apply our scheme to various kinds of images and measure the effectiveness.

关键词： sift algorithm Gaussian filtering integer Gaussian mask SSE instructions

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Effective Digital Image Copy-Move Location algorithm Robust to Geometric Transformations 5

Effective Digital Image Copy-Move Location Algorithm Robust ...

引用

IEEE International Conference on Signal Processing, Communications and Computing ICSPCC 2015

作者： Zhao, Fuxing Zhang, Rong Guo, Haolong Zhang, Yanhua Ningbo Univ Fac Elect Engn & Comp Sci Ningbo Zhejiang Peoples R China

ISBN: (纸本)9781479989201

To make the tampered image more deceivable, rotation and scaling of the duplicated image region, as simple and common image forgery techniques, are often employed. In this paper, a novel approach of copy-move location is presented for copy-move forgery which combines with the keypoint-based method and the block-based method. For a tampered image, we use the split-half recursion matching strategy to match sift keypoints. In this step, we obtain the preliminary detection results which indicate the suspected copy-move regions with matching relation. In order to obtain an accurate localization, the proposed method introduces block-based method. First, the affine transformation between two matched regions is estimated. Then, one of the two matched regions is transformed. And then, the ZNCC coefficients are calculated to measure the correlation between the transformed and the matched regions. Experimental results indicate that the presented algorithm can not only localize the tampered regions accurately, but also deal with operations such as rotation, scaling and multiple copy operations. At the same time it also can resist post-processing operations effectively like white Gaussian noise and JPEG compression.

关键词： digital image forensics copy-move forgery sift algorithm affine transformation ZNCC coefficient

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Improved Frame Difference algorithm Based on CNN for Moving Target Detection 39

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

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39th Chinese Control Conference (CCC)

作者： Cui, Xuanxuan Zhang, Weibin Liu, Dan Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Peoples R China Nanjing Univ Sci & Technol Sch Comp Engn Nanjing 210094 Peoples R China Changan Univ Sch Econ & Management Xian 710064 Peoples R China

ISBN: (纸本)9789881563903

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 proposed. Besides, 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 target. Firstly, frame difference method is adopted to obtain the foreground image, and then CNN is used to repair the foreground image. Finally, sift is used to splicing the restored foreground image to obtain the panoramic image of the foreground target. Experimental simulation results show that the proposed algorithm is effective, efficient and accurate in the extraction and repair of moving targets. With 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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Application of Fuzzy Points in Msift for Threat Objects Detection

Application of Fuzzy Points in MSIFT for Threat Objects Dete...

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4th International Conference on Intelligent Systems, Modelling and Simulation (ISMS)

作者： Shanta, Mohamed Mustafa Prasad, Svav Rahman, Abdul Zahugi, Emaad Lingayas Univ Dept Comp Sci & Engn Faridabad 121002 India

ISBN: (纸本)9780769549637;9781467356534

The detection of threat objects using X-ray luggage scan images is a challenging task for security. Most Computer Aided Screening (CAS) is still based on the manual detection of potential threat objects by human expert's where chances of human errors is quite high as thousands of commuter need to be scanned every day. Proposed sytem uses the very naive concept of extended fuzzy logic based shape detection technique. In this paper Scale-invariant feature transform (sift) algorithm has been modified by using the concept of fuzzy points of fuzzy geometry for finger point matching. The criterion used in CAS system is the number of matched key-points obtained from the Msift algorithm with objects key-points data base. The proposed naive approach shows significant impact in the luggage screening.

关键词： X-rays f-points f-geometry Key points extraction sift algorithm extended fuzzy logic

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Synthetic Aperture Radar Image Matching Based on Improved Scale-Invariant Feature Transform 9

Synthetic Aperture Radar Image Matching Based on Improved Sc...

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9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Wang, Qing Tang, Tao Su, Yi Natl Univ Def Technol Coll Elect Sci & Engn Changsha Hunan Peoples R China

ISBN: (纸本)9781509037100

In this paper, an improved scale-invariant feature transform (sift) algorithm for synthetic aperture radar (SAR) image matching is proposed. Initially, feature descriptors based on gradient ratio (GR) are constructed by utilizing traditional sift method. In order to measure the matching degree between images, the similarities of the descriptors are then calculated via the symmetry kullback-leibler divergence (SKLD) criterion. Experimental results show that the proposed method has a good performance on image matching for SAR images.

关键词： image matching SAR image sift algorithm gradient ratio feature extraction

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An algorithm for Image Match Propagation

An Algorithm for Image Match Propagation

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International Conference on Industrial Control and Electronics Engineering (ICICEE)

作者： Liu, Rong He, Liang Lu, Kaiyun E China Inst Technol Dept Surveying Fuzhou 344000 Jiangxi Peoples R China

ISBN: (纸本)9780769547923

Stereo matching is an important part of 3D reconstruction. This paper proposes an improved match propagation algorithm. Firstly, the feature points are extracted and matched by sift algorithm then they are used as seed points for the image match propagation in neighborhood. Secondly, these dense correspondences are resampled to quasi-dense correspo-ndences. Finally, the mismatched points and outliers are eliminated by epipolar constraint. Experiments show that this improved algorithm can be applied in the similar structure of images with great change of depth

关键词： sift algorithm propagation epipolar constraint quasi-dense 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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Research on Insulator Fault Diagnosis and Remote Monitoring System Based on Infrared Images 8

Research on Insulator Fault Diagnosis and Remote Monitoring ...

引用

8th International Conference on Ambient Systems, Networks and Technologies (ANT) / 7th International Conference on Sustainable Energy Information Technology (SEIT)

作者： Zhou Shen-pei Lei Xi Qiao Bing-chen Hou Hui Wuhan Univ Technol Sch Automat Wuhan 430070 Hubei Peoples R China

In order to solve the problems of manual judgment and low automation in traditional fault diagnosis methods, a fault diagnosis and remote detection system based on infrared images is designed. The computer server of this system realizes the analysis and processing of the infrared image of the insulator by calling the MATLAB software, and transmits the diagnostic data to the Android mobile phone. Simulation results show that the system is effective and convenient. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： Insulator sift algorithm Matlab Android Remote monitoring

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Research of MeanShift Tracking algorithm Based on Feature Matching Estimation

Research of MeanShift Tracking Algorithm Based on Feature Ma...

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Chinese Automation Congress (CAC)

作者： Zheng Tao Hao Xingmeng Chen Mei Hefei Univ Technol Sch Elect Engn & Automat Hefei Anhui Peoples R China

ISBN: (纸本)9781538635247

Aiming at the problem that traditional Meanshift tracking algorithm cannot track target accurately. When target is occluded or background interferences appear, a new tracking algorithm based on features matching and motion detection predicting is proposed. The new algorithm extracts features of target by the sift algorithm to realize the location. The original iteration position is estimated by the Kalman filter, then iterative searching of moving target starts at the location to shrink the searching scope. And finally the target tracking is realized. The results of experiment indicate that the algorithm can detect the location of tracking target accurately to improve the tracking effectively when interference exists in the cluttering background. The improved algorithm has low time complexity and strong robustness.

关键词： Meanshift tracking motion detection sift algorithm Kalman filter iterative searching

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