Hexagonal scale invariant feature transform (H-SIFT) for facial feature extraction
نویسندگان
چکیده
منابع مشابه
-SIFT: -Dimensional Scale Invariant Feature Transform
We propose the -dimensional scale invariant feature transform ( -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 extracting and matching distinctive scale invarian...
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In 2004, David G. Lowe published his paper “Distinctive Image Features from ScaleInvariant Keypoints” (Lowe, 2004, [2]), outlining a method he developed for finding distinctive, scale and rotation invariant features in images that can be used to perform matching between different views of an object or scene. His method, Scale-Invariant Feature Transform (SIFT) combines scale-space theory and fe...
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With explosive growth of multimedia data on internet, the effective information retrieval from a large scale of multimedia data becomes more and more important. To retrieve these multimedia data automatically, some features in them must be extracted. Hence, image feature extraction algorithms have been a fundamental component of multimedia retrieval. Among these algorithms, Scale Invariant Feat...
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For many years, various local descriptors that are insensitive to geometric changes such as viewpoint, rotation, and scale changes, have been attracting attention due to their promising performance. However, most existing local descriptors including the SIFT (Scale Invariant Feature Transform) are based on luminance information rather than color information thereby resulting in instability to p...
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The SIFT (Scale Invariant Feature Transform) is a computer vision algorithm that is used to detect and describe the local image features. The SIFT features are robust to changes in illumination, noise, and minor changes in viewpoint. The SIFT features have been used object recognition, image retrieval and matching, and so on.. The research of SIFT descriptors and improved SIFT descriptors is im...
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ژورنال
عنوان ژورنال: Journal of Applied Research and Technology
سال: 2015
ISSN: 1665-6423
DOI: 10.1016/j.jart.2015.07.006