標(biāo)題: Titlebook: Computer Vision Using Local Binary Patterns; Matti Pietik?inen,Abdenour Hadid,Timo Ahonen Book 2011 Springer-Verlag London Limited 2011 Co [打印本頁] 作者: dejected 時間: 2025-3-21 17:05
書目名稱Computer Vision Using Local Binary Patterns影響因子(影響力)
書目名稱Computer Vision Using Local Binary Patterns影響因子(影響力)學(xué)科排名
書目名稱Computer Vision Using Local Binary Patterns網(wǎng)絡(luò)公開度
書目名稱Computer Vision Using Local Binary Patterns網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computer Vision Using Local Binary Patterns被引頻次
書目名稱Computer Vision Using Local Binary Patterns被引頻次學(xué)科排名
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書目名稱Computer Vision Using Local Binary Patterns年度引用學(xué)科排名
書目名稱Computer Vision Using Local Binary Patterns讀者反饋
書目名稱Computer Vision Using Local Binary Patterns讀者反饋學(xué)科排名
作者: carotenoids 時間: 2025-3-21 21:45
Texture Classification and Segmentationts 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 segmentation of remotely sensed images.作者: Microgram 時間: 2025-3-22 03:07
Recognition and Segmentation of Dynamic Texturesent recognition results are obtained for different test databases providing state-of-the-art performance. The segmentation method extends the unsupervised segmentation method presented in Chap.?. into spatiotemporal domain. It provides very promising results with less computational complexity than most other methods.作者: TAIN 時間: 2025-3-22 07:24
Background Subtraction This chapter presents a robust texture-based method for modeling the background and detecting moving objects, obtaining state-of-the-art performance. The method has been successfully used in a multi-object tracking system, for example.作者: Repatriate 時間: 2025-3-22 08:52
LBP in Different Applicationsent image analysis problems and applications around the world. Among the most important areas of application are face analysis, biometrics, biomedical image analysis, industrial inspection and video analysis. This chapter presents a brief introduction to some representative papers from different application areas.作者: 波動 時間: 2025-3-22 13:47 作者: 波動 時間: 2025-3-22 17:03 作者: Credence 時間: 2025-3-23 00:07
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 segmentation of remotely sensed images.作者: 男生戴手銬 時間: 2025-3-23 03:38 作者: 壓倒 時間: 2025-3-23 06:32 作者: Feigned 時間: 2025-3-23 11:03
Introduction: Modern Legal Philosophy,ent image analysis problems and applications around the world. Among the most important areas of application are face analysis, biometrics, biomedical image analysis, industrial inspection and video analysis. This chapter presents a brief introduction to some representative papers from different application areas.作者: 狂亂 時間: 2025-3-23 16:40
Matti Pietik?inen,Abdenour Hadid,Timo AhonenWritten by pioneers in the topic of Local Binary Patterns.Contains a wealth of illustrations to aid a deeper understanding of the subject.Offers those working with LBPs a single point of reference by 作者: 煞費(fèi)苦心 時間: 2025-3-23 20:18
Computational Imaging and Visionhttp://image.papertrans.cn/c/image/234039.jpg作者: 營養(yǎng) 時間: 2025-3-24 00:06 作者: 賄賂 時間: 2025-3-24 05:36
978-1-4471-2665-2Springer-Verlag London Limited 2011作者: Orthodontics 時間: 2025-3-24 07:40
Foundations of Galaxy Evolution ModelsThis chapter presents an introduction to the role of texture in image analysis and computer vision. It also provides motivations and background for the local binary pattern operator, and presents a brief history of LBP. Finally, an overview to the contents of the book is given.作者: Expediency 時間: 2025-3-24 12:25
https://doi.org/10.1057/9781137381880Methods for analyzing humans and their actions from monocular or multi-view video data are required in many different applications. In this chapter simple LBP-based approaches for action recognition are introduced. The methods perform very favorably compared to the state-of-the-art for test video sequences commonly used in the research community.作者: 可能性 時間: 2025-3-24 18:24
BackgroundThis chapter presents an introduction to the role of texture in image analysis and computer vision. It also provides motivations and background for the local binary pattern operator, and presents a brief history of LBP. Finally, an overview to the contents of the book is given.作者: 圓錐體 時間: 2025-3-24 20:48
Recognition of ActionsMethods for analyzing humans and their actions from monocular or multi-view video data are required in many different applications. In this chapter simple LBP-based approaches for action recognition are introduced. The methods perform very favorably compared to the state-of-the-art for test video sequences commonly used in the research community.作者: Debark 時間: 2025-3-25 02:27
The Hubble Constant from Type Ia Supernovae,ltiscale versions are introduced. The use of complementary contrast information is also discussed. The success of LBP methods in various computer vision problems and applications has inspired much new research on different variants. The basic LBP has also some problems that need to be addressed. The作者: Nuance 時間: 2025-3-25 06:04
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.作者: hidebound 時間: 2025-3-25 11:02
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作者: 染色體 時間: 2025-3-25 12:33
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作者: Fracture 時間: 2025-3-25 15:51
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作者: indoctrinate 時間: 2025-3-25 21:20 作者: Ptosis 時間: 2025-3-26 02:30 作者: 強(qiáng)有力 時間: 2025-3-26 06:41 作者: Constant 時間: 2025-3-26 10:50
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作者: 粘連 時間: 2025-3-26 13:29
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作者: 邪惡的你 時間: 2025-3-26 18:40 作者: Neuropeptides 時間: 2025-3-26 22:04
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.作者: 緩和 時間: 2025-3-27 03:28
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.作者: mechanical 時間: 2025-3-27 06:10 作者: 龍蝦 時間: 2025-3-27 13:17
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.作者: 自然環(huán)境 時間: 2025-3-27 13:51 作者: 東西 時間: 2025-3-27 19:59
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.作者: 溫和女孩 時間: 2025-3-28 00:19 作者: 土產(chǎn) 時間: 2025-3-28 04:14
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 作者: Perineum 時間: 2025-3-28 07:10 作者: arthrodesis 時間: 2025-3-28 11:59
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.作者: Mucosa 時間: 2025-3-28 18:02
Sappho and the Wordsworth Probleml findings which state that facial movements can provide valuable information to face analysis, this chapter investigates the use of spatiotemporal LBP for combining facial appearance (the shape of the face) and motion (the way a person is talking and moving his/her facial features) for face, facial expression and gender recognition from videos.作者: triptans 時間: 2025-3-28 21:06
Local Binary Patterns for Still Imageson problems and applications has inspired much new research on different variants. The basic LBP has also some problems that need to be addressed. Therefore, several extensions and modifications of LBP have been proposed to increase its robustness and discriminative power.作者: Outshine 時間: 2025-3-29 00:22
Description of Interest Regionscriptor 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.作者: PANT 時間: 2025-3-29 04:58 作者: Filibuster 時間: 2025-3-29 10:45
Local Binary Patterns for Still Imagesltiscale versions are introduced. The use of complementary contrast information is also discussed. The success of LBP methods in various computer vision problems and applications has inspired much new research on different variants. The basic LBP has also some problems that need to be addressed. The作者: Myelin 時間: 2025-3-29 11:40 作者: 拖債 時間: 2025-3-29 17:15 作者: STAT 時間: 2025-3-29 21:59
Description of Interest Regionsest 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作者: 相互影響 時間: 2025-3-30 03:24 作者: conspicuous 時間: 2025-3-30 06:26
Recognition and Segmentation of Dynamic Texturesent recognition results are obtained for different test databases providing state-of-the-art performance. The segmentation method extends the unsupervised segmentation method presented in Chap.?. into spatiotemporal domain. It provides very promising results with less computational complexity than m作者: lipoatrophy 時間: 2025-3-30 09:28
