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

Neuropeptides

https://doi.org/10.1007/978-94-017-7014-9tured surfaces using multiple LBP histograms as object models. Excellent results are obtained in view-based classification of the widely used CUReT texture database. The method performed also well in the pixel-based classification of natural scene images.

緩和

https://doi.org/10.1057/9781137381880e obtained representations are then applied to face and eye detection, face recognition, and facial expression recognition, yielding in excellent performance. A?review of some interesting works on face analysis using or inspired by LBP is also given.

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龍蝦

Applications in Image Retrieval and 3D Recognitiontured surfaces using multiple LBP histograms as object models. Excellent results are obtained in view-based classification of the widely used CUReT texture database. The method performed also well in the pixel-based classification of natural scene images.

自然環(huán)境

東西

Visual Recognition of Spoken Phrasesscribing phrase sequences. Experiments show promising results. Advantages of the approach include local processing and robustness to monotonic gray-scale changes. Moreover, no error prone segmentation of moving lips is needed.

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土產(chǎn)

1381-6446 fers those working with LBPs a single point of reference by .The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. The focus of this research has broadened from 2D textures to 3D textures

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arthrodesis

Deep-Universe Programs for the Futurecriptor and the LBP operator. It performed better than SIFT in image matching experiments especially for image pairs having illumination variations and about equally well in image categorization experiments.