More effective image matching with scale invariant feature transform [PDF]
Proceedings of the 23rd Spring Conference on Computer Graphics, 2007 Feature matching is based on finding reliable corresponding points in the images. This requires to solve a twofold problem: detecting repeatable feature points and describing them as distinctive as possible. SIFT (Scale Invariant Feature Transform) has been proven to be the most reliable solution to this problem.
Cosmin Ancuţi, Philippe Bekaert
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Real time architectures for the scale Invariant feature transform algorithm [PDF]
, 2017 Feature extraction in digital image processing is a very intensive task for a CPU. In order to achieve real time image throughputs, hardware parallelism must be exploited.
Brea Sánchez, Víctor Manuel +4 more
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Utilizing the scale-invariant feature transform algorithm to align distance matrices facilitates systematic protein structure comparison. [PDF]
BioinformaticsGuo Z, Wang Y, Ou G.
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Texture Feature Extraction Using Tamura Descriptors and Scale-Invariant Feature Transform [PDF]
مجلة التربية والعلم, 2023 The ability to recognize and distinguish between various textures in an image is made possible by feature extraction, which is a fundamental step in computer vision and image processing. Traditional methods of texture analysis fall short of capturing the
Hasan Maher Ahmed
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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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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
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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
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SIFT-GVF-based lung edge correction method for correcting the lung region in CT images.
PLoS ONE, 2023 Juxtapleural nodules were excluded from the segmented lung region in the Hounsfield unit threshold-based segmentation method. To re-include those regions in the lung region, a new approach was presented using scale-invariant feature transform and ...
Xin Li +4 more
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pi-SIFT: A Photometric and Scale Invariant Feature Transform [PDF]
2008 19th International Conference on Pattern Recognition, 2008 In this chapter, we presented a novel photometric quasi-invariant SIFT descriptor, PHI-SIFT, which is insensitive to photometric variations in addition to geometric invariance. The dichromatic reflection model is used for extracting photometric quasi-invariant features and the similar approach to the SIFT is used for obtaining geometric invariance. For
Moon-Hong Baeg +3 more
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Pemanfaatan Scale Invariant Feature Transform Berbasis Saliency untuk Klasifikasi Sel Darah Putih
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2021 White blood cells are cells that makeup blood components that function to fight various diseases from the body (immune system). White blood cells are divided into five types, namely basophils, eosinophils, neutrophils, lymphocytes, and monocytes ...
Yohannes Yohannes +2 more
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