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Titlebook: Independent Component Analysis of Edge Information for Face Recognition; Kailash Jagannath Karande,Sanjay Talbar Book 2014 The Editor(s) (

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發(fā)表于 2025-3-21 16:25:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Independent Component Analysis of Edge Information for Face Recognition
編輯Kailash Jagannath Karande,Sanjay Talbar
視頻videohttp://file.papertrans.cn/464/463382/463382.mp4
概述Discusses novel approaches on face recognition using edge information with ICA algorithms.Details different methods and models for edge detection.Provides insights for advance research work in the are
叢書(shū)名稱SpringerBriefs in Applied Sciences and Technology
圖書(shū)封面Titlebook: Independent Component Analysis of Edge Information for Face Recognition; Kailash Jagannath Karande,Sanjay Talbar Book 2014 The Editor(s) (
描述The book presents research work on face recognition using edge information as features for face recognition with ICA algorithms. The independent components are extracted from edge information. These independent components are used with classifiers to match the facial images for recognition purpose. In their study, authors have explored Canny and LOG edge detectors as standard edge detection methods. Oriented Laplacian of Gaussian (OLOG) method is explored to extract the edge information with different orientations of Laplacian pyramid. Multiscale wavelet model for edge detection is also proposed to extract edge information. The book provides insights for advance research work in the area of image processing and biometrics.
出版日期Book 2014
關(guān)鍵詞Canny and LOG Edge Detection; Face Recogniton; ICA Algorithms; Independent Component Analysis; Multi-sca
版次1
doihttps://doi.org/10.1007/978-81-322-1512-7
isbn_softcover978-81-322-1511-0
isbn_ebook978-81-322-1512-7Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature India Pr
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Independent Component Analysis of Edge Information for Face Recognition978-81-322-1512-7Series ISSN 2191-530X Series E-ISSN 2191-5318
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發(fā)表于 2025-3-22 07:55:50 | 只看該作者
Introduction,The automatic recognition of human faces presents a significant challenge to the pattern recognition research community. Typically, human faces are similar in structure with minor differences from person to person. They are actually within one class of human faces.
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發(fā)表于 2025-3-22 08:57:25 | 只看該作者
Canny Edge Detection for Face Recognition Using ICA,In this chapter we have explored Canny edge detection method to extract edge information. This edge information is further used for obtaining independent components (ICs) using independent component analysis (ICA) algorithms. The ICs are further used as feature vectors for face recognition task.
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Oriented Laplacian of Gaussian Edge Detection for Face Recognition Using ICA,In this chapter, we have explored Oriented Laplacian of Gaussian (OLOG) as edge detection technique. If we use Laplacian pyramid with different orientations, and these oriented pyramids are used as edge information for face recognition is an innovative idea.
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Kailash Jagannath Karande,Sanjay TalbarDiscusses novel approaches on face recognition using edge information with ICA algorithms.Details different methods and models for edge detection.Provides insights for advance research work in the are
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