Then the advantages and disadvantages of the disparity maps with the three kinds of stereo matching algorithms were analyzed. The analysis results of the disparity maps show that the SIFT stereo matching algorithm was more suitable for underwater stereo matching work. In order to obtain more ...
基于SIFT图像配准算法的研究 中国科学技术大学 硕士学位论文 基于SIFT图像配准算法的研究 姓名：汪道寅 申请学位级别：硕士 专业：通信与信息系统 指导教师：胡访宇 2011-05-12
proposed an optimization scheme to solve the problem of uneven distribution of feature points detected by SIFT algorithm in optical remote sensing image registration, which extracted uniformly distributed feature points by using the constraint information of feature points in scale and spatial position9. ...
problemwasturnedintoanoptimizationproblemaboutSIFT featurevectorandthegeometrydistribution ofthepointsets.Bysearchingfortheaffinetransformationandcorespondencesundertheiterative deterministic annealing flame.the algorithm got the optimal matching result of SIF丁 ...
sift算法实例 大数据 - Matlab He**ry上传1.63 MB文件格式zip 基于matlab的sift算法特征点匹配实例 (0)踩踩(0) 所需:11积分
(SIFT)algorithm and Normalized Cross Correlation(NCC)is proposed. This method adopts SIFT algorithm to match feature point and to get a certain amount of feather points, then uses the scale of SIFT feature points and directional information to improve NCC in order to get the matching point. Aft...
Optimizing SIFT for Matching of Short Wave Infrared and Visible Wavelength Images DOI: 10.3390/rs5052037 Aleksandra A. Sima,Simon J. Buckley Keywords: SIFT, optimization, SWIR, VIS, multi-wavelength, hyperspectral Full-Text Cite this paper Add to My Lib Abstract: The scale invariant feature...
A Parallel Analysis on Scale Invariant Feature Transform (SIFT) Algorithm With explosive growth of multimedia data on internet, the effective information retrieval from a large scale of multimedia data becomes more and more important. To retrieve these multimedia data autom D Yang,L Liu,F Zhu,.....
In addition, it has superior adaptability and performance compared to the supervised method. Other Approaches Reinforcement LearningDeep reinforcement learning is gaining traction as a registration method for medical applications. As opposed to a pre-defined optimization algorithm, in this approach, we ...
Deep reinforcement learning is gaining traction as a registration method for medical applications. As opposed to a pre-defined optimization algorithm, in this approach, we use atrained agent to perform the registration. In 2016, Liao et al. were the first to use reinforcement learning for image ...