Results 1 to 10 of about 13,554 (180)
Bilateral symmetry detection on the basis of Scale Invariant Feature Transform. [PDF]
PLoS ONE, 2014 The automatic detection of bilateral symmetry is a challenging task in computer vision and pattern recognition. This paper presents an approach for the detection of bilateral symmetry in digital single object images.
Habib Akbar +3 more
doaj +4 more sources
Possibility Study of Scale Invariant Feature Transform (SIFT) Algorithm Application to Spine Magnetic Resonance Imaging. [PDF]
PLoS ONE, 2016 The purpose of this study is an application of scale invariant feature transform (SIFT) algorithm to stitch the cervical-thoracic-lumbar (C-T-L) spine magnetic resonance (MR) images to provide a view of the entire spine in a single image.
Dong-Hoon Lee, Do-Wan Lee, Bong-Soo Han
doaj +4 more sources
Face recognition method combining SVM machine learning and scale invariant feature transform [PDF]
E3S Web of Conferences, 2022 Facial recognition is a method to identify an individual from his image. It has attracted the intention of a large number of researchers in the field of computer vision in recent years due to its wide scope of application in several areas (health ...
Hicham Benradi +2 more
doaj +2 more sources
SCALE INVARIANT FEATURE TRANSFORM PLUS HUE FEATURE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 This paper presents an enhanced method for extracting invariant features from images based on Scale Invariant Feature Transform (SIFT). Although SIFT features are invariant to image scale and rotation, additive noise, and changes in illumination but we ...
M. B.Daneshvar
doaj +3 more sources
Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images [PDF]
IEEE Transactions on Image Processing, 2017 Spectral-spatial feature extraction is an important task in hyperspectral image processing. In this paper we propose a novel method to extract distinctive invariant features from hyperspectral images for registration of hyperspectral images with different spectral conditions.
Suhad Lateef Al-khafaji +3 more
openalex +5 more sources
Scale Invariant Feature Transform
Scholarpedia, 2012 Scale Invariant Feature Transform (SIFT) is an image descriptor for image-based matching developed by David Lowe (1999,2004). This descriptor as well as related image descriptors are used for a large number of purposes in computer vision related to point matching between different views of a 3-D scene and view-based object recognition.
Tony Lindeberg
openalex +2 more sources
A Zero-Watermarking Algorithm Based on Scale-Invariant Feature Reconstruction Transform [PDF]
Applied SciencesIn order to effectively protect and verify the copyright information of multimedia digital works, this paper proposes a zero-watermarking algorithm based on carrier image feature point descriptors.
Fan Li, Zhong-Xun Wang
doaj +2 more sources
Image Watermarking Scheme Based on Scale-Invariant Feature Transform [PDF]
KSII Transactions on Internet and Information Systems, 2014 In this paper, a robust watermarking scheme is proposed that uses the scale-invariant feature transform (SIFT) algorithm in the discrete wavelet transform (DWT) domain. First, the SIFT feature areas are extracted from the original image. Then, one level DWT is applied on the selected SIFT feature areas.
Wanli Lyu +3 more
openalex +2 more sources
Image Feature Extraction and Matching of Augmented Solar Images in Space Weather
Kongjian kexue xuebao, 2023 Augmented solar images were used to research the adaptability of four representative image extraction and matching algorithms in space weather domain.
WANG Rui, BAO Lili, CAI Yanxia
doaj +1 more source
An Improved ASIFT Image Feature Matching Algorithm Based on POS Information
Sensors, 2022 The affine scale-invariant feature transform (ASIFT) algorithm is a feature extraction algorithm with affinity and scale invariance, which is suitable for image feature matching using unmanned aerial vehicles (UAVs).
Junchai Gao, Zhen Sun
doaj +1 more source