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
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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
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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
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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
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Computer Aided Classification of Neuroblastoma Histological Images Using Scale Invariant Feature Transform with Feature Encoding [PDF]
Diagnostics, 2018 Neuroblastoma is the most common extracranial solid malignancy in early childhood. Optimal management of neuroblastoma depends on many factors, including histopathological classification.
Soheila Gheisari +5 more
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Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images [PDF]
IEEE Transactions on Image Processing, 2018 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
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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
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Model-independent phenotyping of C. elegans locomotion using scale-invariant feature transform. [PDF]
PLoS ONE, 2015 To uncover the genetic basis of behavioral traits in the model organism C. elegans, a common strategy is to study locomotion defects in mutants. Despite efforts to introduce (semi-)automated phenotyping strategies, current methods overwhelmingly depend ...
Yelena Koren +6 more
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Local-Peak Scale-Invariant Feature Transform for Fast and Random Image Stitching [PDF]
SensorsImage stitching aims to construct a wide field of view with high spatial resolution, which cannot be achieved in a single exposure. Typically, conventional image stitching techniques, other than deep learning, require complex computation and are thus ...
Hao Li +3 more
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Scale Invariant Feature Transform on the Sphere: Theory and Applications [PDF]
International Journal of Computer Vision, 2018 A SIFT algorithm in spherical coordinates for omnidirectional images is proposed. This algorithm can generate two types of local descriptors, Local Spherical Descriptors and Local Planar Descriptors.
Bierlaire, Michel +4 more
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