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Titlebook: Computer Vision Using Local Binary Patterns; Matti Pietikäinen,Abdenour Hadid,Timo Ahonen Book 2011 Springer-Verlag London Limited 2011 Co

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楼主: dejected
发表于 2025-3-25 06:04:19 | 显示全部楼层
A. R. Sandage,R. G. Kron,Allan Sandage Orthogonal Planes (LBP-TOP) are introduced. An effective rotation-invariant version of the simple LBP-TOP operator is also presented. Finally, some recent variants of the spatiotemporal LBP are briefly described.
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Computing Models for Faint-Galaxy Samplests involving LBP descriptors. An unsupervised method for texture segmentation using LBP and contrast (LBP/C) distributions is presented in the second part of the chapter. This method has become very popular, and many variants of it have been proposed, for example for color-texture segmentation and s
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Deep-Universe Programs for the Futureest region description using center-symmetric local binary patterns (CS-LBP). The CS-LBP descriptor combines the advantages of the well-known SIFT descriptor and the LBP operator. It performed better than SIFT in image matching experiments especially for image pairs having illumination variations an
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https://doi.org/10.1007/978-94-017-7014-9ture features are commonly used in retrieval, but usually they have been applied on full images. In the first part of this chapter two block based methods based on LBPs are presented which can significantly increase the retrieval performance. The second part describes a method for recognizing 3D tex
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Sappho and the Wordsworth Problemresults can be obtained using texture based spatiotemporal representations for describing and analyzing faces in videos. Inspired by the psychophysical findings which state that facial movements can provide valuable information to face analysis, this chapter investigates the use of spatiotemporal LB
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Sappho and the Wordsworth Problemer, local spatiotemporal descriptors are utilized to represent and recognize spoken isolated phrases based solely on visual input. Positions of the eyes are used for localizing the mouth regions in face images and then spatiotemporal local binary patterns extracted from these regions are used for de
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