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A young woman with membranoproliferative glomerulonephritis and persistent hypocomplementemia: a case report. [PDF]
BMC NephrolLi H +5 more
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Whole-exome sequencing unveils novel potential gene mutations involved in primary renal small cell carcinoma. [PDF]
Oncol LettWang Y, Zhang L, Xia X, Li X.
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Population structure and domestication history of the Javan banteng.
Curr BiolWang X +23 more
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Comparison of SIFT, Bi-SIFT, and Tri-SIFT and their frequency spectrum analysis
Machine Vision and Applications, 2017This paper aims to explore frequency behavior of isotropic (regular SIFT) and anisotropic (Bi-SIFT and Tri-SIFT) versions of the scale-space keypoint detection algorithm SIFT. We introduced a new smoothing function Trilateral filter that can be used in formation of a scale-space as an alternative to the Gaussian scale-space.
Kazim Sekeroglu, Ömer M. Soysal
exaly +2 more sources
SIFT Flow: Dense Correspondence across Scenes and Its Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011 While image alignment has been studied in different areas of computer vision for decades, aligning images depicting different scenes remains a challenging problem.
Ce Liu
exaly +2 more sources
IEEE Transactions on Geoscience and Remote Sensing, 2018
Although the scale-invariant feature transform (SIFT) algorithm has been successfully applied to both optical image registration and synthetic aperture radar (SAR) image registration, SIFT-like algorithms have failed to register high-resolution (HR ...
Yuming Xiang, Feng Wang
exaly +2 more sources
Although the scale-invariant feature transform (SIFT) algorithm has been successfully applied to both optical image registration and synthetic aperture radar (SAR) image registration, SIFT-like algorithms have failed to register high-resolution (HR ...
Yuming Xiang, Feng Wang
exaly +2 more sources
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Scale invariant feature detectors often find stable scales in only a few image pixels. Consequently, methods for feature matching typically choose one of two extreme options: matching a sparse set of scale invariant features, or dense matching using arbitrary scales.
Tal Hassner +2 more
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Scale invariant feature detectors often find stable scales in only a few image pixels. Consequently, methods for feature matching typically choose one of two extreme options: matching a sparse set of scale invariant features, or dense matching using arbitrary scales.
Tal Hassner +2 more
openaire +1 more source
Combining Optimized SAR-SIFT Features and RD Model for Multisource SAR Image Registration
IEEE Transactions on Geoscience and Remote Sensing, 2021Multisource synthetic aperture radar (SAR) image registration is a difficult task in remote sensing due to the influence of speckle noise and geometric distortions between the images. The SAR scale-invariant feature transform (SAR-SIFT) is a prior option
Mengmeng Wang +3 more
semanticscholar +1 more source
Computer Graphics Forum, 2013
AbstractWe introduce the Sifted Disk technique for locally resampling a point cloud in order to reduce the number of points. Two neighboring points are removed and we attempt to find a single random point that is sufficient to replace them both. The resampling respects the original sizing function; In that sense it is not a coarsening.
Mohamed S. Ebeida +6 more
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AbstractWe introduce the Sifted Disk technique for locally resampling a point cloud in order to reduce the number of points. Two neighboring points are removed and we attempt to find a single random point that is sufficient to replace them both. The resampling respects the original sizing function; In that sense it is not a coarsening.
Mohamed S. Ebeida +6 more
openaire +1 more source
SIFT-aided path-independent digital image correlation accelerated by parallel computing
, 2020Current iterative digital image correlation (DIC) algorithms can efficiently converge at the deformation vector with high accuracy when they are fed with reliable initial guess.
Junrong Yang +7 more
semanticscholar +1 more source