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 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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Retinal Identification Based on an Improved Circular Gabor Filter and Scale Invariant Feature Transform [PDF]
Sensors, 2013 Retinal identification based on retinal vasculatures in the retina provides the most secure and accurate means of authentication among biometrics and has primarily been used in combination with access control systems at high security facilities. Recently,
Xiaoming Xi +3 more
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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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N-SIFT: N-DIMENSIONAL SCALE INVARIANT FEATURE TRANSFORM FOR MATCHING MEDICAL IMAGES [PDF]
IEEE Transactions on Image Processing, 2007 We propose the n-dimensional scale invariant feature transform (n-SIFT) method for extracting and matching salient features from scalar images of arbitrary dimensionality, and compare this method's performance to other related features. The proposed features extend the concepts used for 2-D scalar images in the computer vision SIFT technique for ...
Warren Cheung, Ghassan Hamarneh
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Pengenalan Barang Pada Kereta Belanja Menggunakan Metode Scale Invariant Feature Transform (SIFT) [PDF]
Jurnal Teknologi Informasi dan Ilmu Komputer, 2018 Menunggu dalam suatu antrian di supermarket sering terjadi dalam kehidupan sehari-hari. Antrian tersebut terjadi karena pada kasir mengharuskan setiap barang diperiksa untuk dipindai menggunakan barcode. Hal ini dapat diatasi dengan menggunakan aplikasi
Ronny Makhfuddin Akbar, Nani Sunarmi
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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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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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Multi‐aircrafts tracking using spatial–temporal constraints‐based intra‐frame scale‐invariant feature transform feature matching [PDF]
IET Computer Vision, 2015 Although multi‐objects tracking has been improved significantly, tracking multiple aircrafts with nearly the same appearance remains a difficult task, especially when a significant pose changes and long‐time occlusions occur in the complex environment ...
Zehua Xie, Zhenzhong Wei, Chen Bai
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