Zobrazeno 1 - 10
of 546
pro vyhledávání: '"Harris affine region detector"'
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 28:1934-1948
In this paper, we study a simplified affine motion model-based coding framework to overcome the limitation of a translational motion model and maintain low-computational complexity. The proposed framework mainly has three key contributions. First, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::414c70b9b82034a29107db36ce51fbc2
https://doi.org/10.1109/tcsvt.2017.2699919
https://doi.org/10.1109/tcsvt.2017.2699919
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 132:61-76
Robust image matching is crucial for many applications of remote sensing and photogrammetry, such as image fusion, image registration, and change detection. In this paper, we propose a robust feature matching method based on support-line voting and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::876cd320fa4fb40ca5028b9708f10c8b
https://doi.org/10.1016/j.isprsjprs.2017.08.009
https://doi.org/10.1016/j.isprsjprs.2017.08.009
Autor:
Biao Zhao
Publikováno v:
Neurocomputing. 252:34-41
Calculating the geometry relationship by the positions of the correspondences from stereo images is a fundamental method to obtain the depth information. Such a method was quite widespread and popular thanks to its efficiency and easily accessed impl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fcd4fd368fd4a9bf9d2ce8afd169046
https://doi.org/10.1016/j.neucom.2016.06.094
https://doi.org/10.1016/j.neucom.2016.06.094
Publikováno v:
Applied Intelligence. 48:432-444
Clustering is an important technique in data mining. The innovative algorithm proposed in this paper obtains clusters by first identifying boundary points as opposed to existing methods that calculate core cluster points before expanding to the bound
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f40af536561e8701d59a499050e5d6c2
https://doi.org/10.1007/s10489-017-0979-z
https://doi.org/10.1007/s10489-017-0979-z
Autor:
Yu Tian, Yun-Zhang Li
Publikováno v:
Mathematical Methods in the Applied Sciences. 40:6927-6943
In this paper, we introduce the notion of partial affine system that is a subset of an affine system. It has potential applications in signal analysis. A general affine system has been extensively studied; however, the partial one has not. The main f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c1e9aac60e3c9bfe50a0824a136786e
https://doi.org/10.1002/mma.4503
https://doi.org/10.1002/mma.4503
Autor:
Daniel Barath, Levente Hajder
Publikováno v:
Pattern Recognition Letters. 94:7-14
Estimating homography using only one affine correspondence.The proposed theory makes multi-homography estimation less ambiguous.Stochastic sampling can be omitted from robust homography estimation.Affine-covariant detectors are compared w.r.t. qualit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93ec4cec92e35b8ee2db6e8fe4f57a30
https://doi.org/10.1016/j.patrec.2017.04.020
https://doi.org/10.1016/j.patrec.2017.04.020
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 14:1116-1120
A novel target detection method based on affine invariant interest point detection, feature encoding, and large-margin dimensionality reduction (LDR) is proposed for optical remote sensing images. First, four types of interest point detectors are int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09604547bc2580a7e297ce690f66dc49
https://doi.org/10.1109/lgrs.2017.2699329
https://doi.org/10.1109/lgrs.2017.2699329
Autor:
P. Deepa, R. Manoranjitham
Publikováno v:
Multimedia Tools and Applications. 77:9365-9378
Interest point detection plays a significant role in computer vision applications. The most commonly used interest point detector algorithm is scale invariant feature transform (SIFT). The use of Gaussian filter in the SIFT algorithm fails to match i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e87bdb84697f26e9355d01d8e2f91b7
https://doi.org/10.1007/s11042-017-4982-5
https://doi.org/10.1007/s11042-017-4982-5
Publikováno v:
Chinese Journal of Electronics. 26:351-357
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ff63c5ac88c6ddfdbb8076f3fa0fac0
https://doi.org/10.1049/cje.2016.06.020
https://doi.org/10.1049/cje.2016.06.020
Publikováno v:
National Academy Science Letters. 40:189-196
Dimensional reduction is a primary way to analyze and work with complex and large amount of multidimensional data by avoiding the effect of curse of dimensionality. This problem of constructing low dimensional embedding gains importance in number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5784c5847e517ad3df2f65924621def
https://doi.org/10.1007/s40009-017-0536-7
https://doi.org/10.1007/s40009-017-0536-7