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SIFTBCS: scale invariant feature transform based fuzzy vault scheme in biometric cryptosystem
Biometric cryptosystem (BCS) is a challenging field of study where data is secured using biometrics features and cryptographic encryption. The...
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Scale-Invariant Feature Transform Improvement for Problems of Recognition of Similar Images
AbstractThe study was conducted on several algorithms for determining similar images. Scale-invariant feature transform algorithm was taken as the...
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Fusion-attention network using dense scale-invariant feature transform flow image and point cloud for 3D pedestrian detection
In this paper, we introduce a fusion-attention network for three-dimensional (3D) pedestrian detection using the fusion of dense scale-invariant...
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FD-TR: feature detector based on scale invariant feature transform and bidirectional feature regionalization for digital image watermarking
In this paper we propose the FD-TR: Feature Detector Based on Scale Invariant Feature Transform and Bidirectional Feature Regionalization for digital...
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Scale-Invariant Feature Transform (SIFT)
Many real applications require the localization of reference positions in one or more images, for example, for image alignment, removing distortions,...
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Riesz Networks: Scale-Invariant Neural Networks in a Single Forward Pass
Scale invariance of an algorithm refers to its ability to treat objects equally independently of their size. For neural networks, scale invariance is...
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Average increment scale-invariant heat kernel signature for 3D non-rigid shape analysis
In recent years, spectral shape descriptors have attracted much attention because the Laplace-Beltrami operator(LBO) has good characteristics for...
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A novel normal to tangent line (NTL) algorithm for scale invariant feature extraction for Urdu OCR
The font invariant recognition of Urdu optical characters is a difficult task due to the nature of Nastalique script. Urdu Nastalique is a complex...
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Robust audio watermarking algorithm resisting crop** based on SIFT transform
Robust watermarking plays a key role in copyright protection and information leakage tracking, network conference recording, etc. However, crop**...
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3D Shape Similarity Measurement Based on Scale Invariant Functional Maps
In recent years, the research focus on shape analysis has centered around the similarity and consistency of 3D models. The matching results derived...
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Infrared and visible image fusion based on quaternion wavelets transform and feature-level Copula model
To solve the problems that the correlation of multi-scale coefficients is ignored, as well as inaccurate identification of complementarity and...
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SIRA: Scale illumination rotation affine invariant mask R-CNN for pedestrian detection
In this paper, we resolve the challenging obstacle of detecting pedestrians with the ubiquity of irregularities in scale, rotation, and the...
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Human re-identification by local maximal occurrence of color and scale-Invariant Channel integrated statistical pattern
Feature representation and metric learning are the two major components in human re-identification. An effective feature representation has to be...
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Sci-Net: scale-invariant model for buildings segmentation from aerial imagery
Buildings’ segmentation is a fundamental task in the field of earth observation and aerial imagery analysis. Most existing deep learning-based...
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Scale-Covariant and Scale-Invariant Gaussian Derivative Networks
This paper presents a hybrid approach between scale-space theory and deep learning, where a deep learning architecture is constructed by coupling...
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A novel Venus’ visible image processing neoteric workflow for improved planetary surface feature analysis
The article presents a novel methodology that comprises of end-to-end Venus’ visible image processing neoteric workflow. The visible raw image is...
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Invariant Scattering Transform for Medical Imaging
Over the years, the Invariant Scattering Transform (IST) technique has become popular for medical image analysis, including using wavelet transform...
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Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification
Kernel similarity function allows a Support Vector Machine (SVM) classifier to learn the maximum margin hyperplane in a higher dimensional space...
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A Super Feature Transform for Small-Size Image Forgery Detection
In this digital era, we have a wide variety of image editing software that is prone to create malicious alterations on images. Hence, the evaluation...