Author:
Florack Luc,Ter Haar Romeny Bart,Viergever Max,Koenderink Jan
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference31 articles.
1. Babaud, J., Witkin, A. P., Baudin, M. and Duda, R. O. 1986. Uniqueness of the gaussian kernel for scale-space filtering. IEEE Trans. Pattern Analysis and Machine Intelligence, 8(1):26?33.
2. NATO ASI Series F98;H. H. Barrett,1992
3. Blom, J., terHaar Romeny, B. M., Bel, A. and Koenderink, J. J. 1993. Spatial derivatives and the propagation of noise in gaussian scale-space. J. of Vis. Comm. and Im. Repr. 4(1):1?13.
4. Damon, J. 1990. Local Morse theory for solutions to the heat equation and Gaussian blurring. Internal report, Department of Mathematics, University of North Carolina, Chapel Hill, North Carolina, USA.
5. Florack, L. M. J., terHaar Romeny, B. M., Koenderink, J. J. and Viergever, M. A., 1992. Scale and the differential structure of images. Image and Vision Computing, 10(6):376?388.
Cited by
85 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Optimized Deep Learning Framework for Improved Semantic Segmentation in Multispectral Imagery;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03
2. Selecting matching area based on deep learning keypoint features;MIPPR 2023: Automatic Target Recognition and Navigation;2024-03-07
3. Comparing hand-crafted and learned key-point feature extraction for co-location of sequential low-altitude UAS video frames;Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V;2023-06-12
4. Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters Revisited;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-01-01
5. Fully Trainable Gaussian Derivative Convolutional Layer;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16