基于尺度空间的快速特征检测算法
Fast Feature Detector Based on Scale Space
摘要: 本文采用三次样条函数近似高斯核函数对图像构建离散尺度空间，其模糊比和初始平滑度设为2和0.627，在图像尺度空间内，依次利用边缘检测和FAST角点检测方法提取图像特征点。
Abstract: In this paper, the cubic spline function is used to approximate the Gaussian kernel function to construct the discrete scale space of the image, and its fuzzy ratio and initial smoothness are set to 2 and 0.627. In the image scale space, the edge detection and fast corner detection methods are used to extract the image feature points.
文章引用：吴思燕, 李梦婷, 马国春. 基于尺度空间的快速特征检测算法[J]. 应用数学进展, 2021, 10(12): 4191-4200. https://doi.org/10.12677/AAM.2021.1012445

参考文献

[1] Rosten, E. and Drummond, T. (2005) Fusing Points and Lines for High Performance Tracking. Tenth IEEE International Conference on Computer Vision, 1508-1515. [Google Scholar] [CrossRef] 
[2] Ziou, D. and Tabbone, S. (1998) Edge Detection Techniques—An Overview. Pattern Recognition and Image Analysis, 8, 537-559.
[3] Low, D.G. (2004) Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision, 60, 91-110. [Google Scholar] [CrossRef] 
[4] Mainali, P., Yang, Q., Lafruit, G., et al. (2011) Robust Low Complexity Corner Detector. IEEE Transactions on Circuits & Systems for Video Technology, 21, 435-445. [Google Scholar] [CrossRef] 
[5] Rosten, E., Porter, R. and Drummond, T. (2010) Faster and Better: A Machine Learning Approach to Corner Detection. IEEE Transactions on Pattern Analysis & Machine Intelligence, 32, 105-119. [Google Scholar] [CrossRef] 
[6] Faraji, M., Shanbehzadeh, J., Nasrollahi, K., et al. (2015) Extremal Regions Detection Guided by Maxima of Gradient Magnitude. IEEE Transactions on Image Processing, 24, 5401-5415. [Google Scholar] [CrossRef] 
[7] Tuytelaars, T. and Gool, L.V. (2004) Matching Widely Separated Views Based on Affine Invariant Regions. International Journal of Computer Vision, 59, 61-85. [Google Scholar] [CrossRef] 
[8] Smith, S.M. and Brady, J.M. (1997) SUSAN—A New Approach to Low Level Image Processing. International Journal of Computer Vision, 23, 45-78. [Google Scholar] [CrossRef] 
[9] Bay, H., Ess, A., Tuytelaars, T., et al. (2008) Speeded-Up Robust Features (SURF). Computer Vision and Image Understanding, 110, 346-359. [Google Scholar] [CrossRef] 
[10] Mikolajczyk, K. and Schmid, C. (2004) Scale & Affine Invariant Interest Point Detectors. International Journal of Computer Vision, 60, 63-86. [Google Scholar] [CrossRef] 
[11] Yu, G. and Morel, J.M. (2011) ASIFT: An Algorithm for Fully Affine Invariant Comparison. Image Processing on Line, 1, 11-38. [Google Scholar] [CrossRef] 
[12] Alcantarilla, P.F., Bartoli, A. and Daviso, A.J. (2012) KAZE Features. European Conference on Computer Vision (ECCV), Florence, 7-13 October 2012, 214-227. [Google Scholar] [CrossRef] 
[13] Mainali, P., Lafruit, G., Yang, Q., et al. (2013) SIFER: Scale-Invariant Feature Detector with Error Resilience. International Journal of Computer Vision, 104, 172-197. [Google Scholar] [CrossRef] 
[14] Azzopardi, G. and Azzopardi, N. (2012) Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 490-503. [Google Scholar] [CrossRef] 
[15] Bellavia, F., Tegolo, D. and Valenti, C. (2011) Improving Harris Corner Selection Strategy. IET Computer Vision, 5, 87-96. [Google Scholar] [CrossRef] 
[16] Verdie, Y., Yi, K.M., Fua, P., et al. (2015) TILDE: A Temporally Invariant Learned DEtector. Internaltional Conference on Computer Vision and Pattern Recognition (CVPR), Boston, 7-12 June 2015, 5279-5288. [Google Scholar] [CrossRef] 
[17] Lenc, K. and Vedaldi, A. (2016) Learning Covariant Feature Detectors. Europeon Conference on Computer Vision (ECCV), Amsterdam, 11-14 October 2016, 100-117. [Google Scholar] [CrossRef] 
[18] Zhang, X., Yu, F.X., Karaman, S., et al. (2017) Learning Discriminative and Transformation Covariant Local Feature Detectors. Internaltional Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, 21-26 July 2017, 6818-6826. [Google Scholar] [CrossRef] 
[19] Ghahremani, M., Liu, Y. and Tiddeman, B. (2020) FFD: Fast Feature Detector. IEEE Transactions on Image Processing, 30, 1153-1168. [Google Scholar] [CrossRef] 
[20] Koenderink, J.J. (1984) The Structure of Images. Biological Cybernetics, 50, 363-370. [Google Scholar] [CrossRef] 
[21] Lindeberg, T. (1994) Scale-Space Theory: A Basic Tool for Analysing Structures at Different Scales. Journal of Applied Statistics, 21, 225-270. [Google Scholar] [CrossRef] 
[22] Starck, J.L. and Murtagh, F. (2006) Astronomical Image and Data Analysis. Springer, Berlin. [Google Scholar] [CrossRef] 
[23] Canny, J. (1986) A Computational Approach to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 679-698. [Google Scholar] [CrossRef] 

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