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Meitan xuebaoThe SURF (Speed Up Robust Features) feature extraction algorithm and FLANN (Fast Library or Approximate Nearest Neighbors) feature matching algorithm in current video stitching technology have the problems of feature point extraction errors and low ...
Qinghua MAO +3 more
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Lightweight transformer image feature extraction network [PDF]
PeerJ Computer ScienceIn recent years, the image feature extraction method based on Transformer has become a research hotspot. However, when using Transformer for image feature extraction, the model’s complexity increases quadratically with the number of tokens entered.
Wenfeng Zheng +4 more
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IMPROVING SIFT FOR IMAGE FEATURE EXTRACTION
Studia Universitatis Babes-Bolyai: Series Informatica, 2017 This paper reviews a classical image feature extraction algorithm, namely SIFT (i.e. Scale Invariant Feature Transform) and modifies it in order to increase its repeatability score.
Renata DEAK +2 more
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Color Feature Based Dominant Color Extraction
IEEE Access, 2022 The dominant colors in an image can be used for image search, color editing, palette generation, and several other applications. Conventionally, dominant colors are extracted using clustering or histogram-based methods.
Youngha Chang, Nobuhiko Mukai
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Linear feature extraction for ranking [PDF]
Information Retrieval Journal, 2018 We address the feature extraction problem for document ranking in information retrieval. We then propose LifeRank, a Linear feature extraction algorithm for Ranking. In LifeRank, we regard each document collection for ranking as a matrix, referred to as the original matrix.
Gaurav Pandey 0003 +4 more
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A Novel Illumination-Insensitive Feature Extraction Method
IEEE Access, 2020 Image description is a great challenge in the field of computer vision under complex illumination condition. The complex illumination condition is usually unavoidable and unpredictable in real application.
Gao Tao +5 more
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A color extraction algorithm by segmentation
Scientific Reports, 2023 The segmentation and extraction on color features can provide useful information for many different application domains. However, most of the existing image processing algorithms on feature extraction are gray image-based and consider only one ...
QingE Wu +6 more
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Coloring Local Feature Extraction [PDF]
, 2006 Although color is commonly experienced as an indispensable quality in describing the world around us, state-of-the art local feature-based representations are mostly based on shape description, and ignore color information. The description of color is hampered by the large amount of variations which causes the measured color values to vary ...
Joost van de Weijer 0001 +1 more
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Biometric Feature Extraction for Iris Scans
Journal of Information Security and Cybercrimes Research, 2019 This paper generally seeks to demonstrate understanding and use of iris scans for biometric identification. Salient features of iris are identified, their extracts analyzed critically by use of a software.
Muhanned AL-Rawi
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Texture Feature Extraction Methods: A Survey
IEEE Access, 2019 Texture analysis is used in a very broad range of fields and applications, from texture classification (e.g., for remote sensing) to segmentation (e.g., in biomedical imaging), passing through image synthesis or pattern recognition (e.g., for image ...
Anne Humeau-Heurtier
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