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عنوان: Facial Kinship Verification
عنوان دیگر: A Machine Learning Approach /
پدیدآورنده: Yan, Haibin. ;;Lu, Jiwen. ;
کلید واژه ها: Computer Science;Image processing. ;;Pattern recognition. ;;Biometrics (Biology). ;;Computer Science;Image Processing and Computer Vision. ;;Pattern Recognition. ;;Biometrics. ;
تاریخ انتشار: 2017
محل نشر: Singapore :
ناشر: Springer Singapore :
Imprint: Springer,
فروست / شماره : SpringerBriefs in Computer Science, ; 2191-5768. ;
SpringerBriefs in Computer Science, ; 2191-5768. ;
چکیده: This book provides the first systematic study of facial kinship verification, a new research topic in biometrics. It presents three key aspects of facial kinship verification: 1) feature learning for kinship verification, 2) metric learning for kinship verification, and 3) video-based kinship verification, and reviews state-of-the-art research findings on facial kinship verification. Many of the feature-learning and metric-learning methods presented in this book can also be easily applied for other face analysis tasks, e.g., face recognition, facial expression recognition, facial age estimation and gender classification. Further, it is a valuable resource for researchers working on other computer vision and pattern recognition topics such as feature-learning-based and metric-learning-based visual analysis. ;
توضیحات : Printed edition: ; 9789811044830. ;


SpringerLink (Online service) ;

آدرس: http://localhost/handle/Hannan/360
شابک : 9789811044847 ;
9789811044830 (print) ;
اطلاعات بیشتر: X, 82 p. 33 illus., 29 illus. in color. ; online resource. ;
مجموعه(های):مهندسی مدیریت ساخت

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9789811044847.pdf3.1 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Facial Kinship Verification
عنوان دیگر: A Machine Learning Approach /
پدیدآورنده: Yan, Haibin. ;;Lu, Jiwen. ;
کلید واژه ها: Computer Science;Image processing. ;;Pattern recognition. ;;Biometrics (Biology). ;;Computer Science;Image Processing and Computer Vision. ;;Pattern Recognition. ;;Biometrics. ;
تاریخ انتشار: 2017
محل نشر: Singapore :
ناشر: Springer Singapore :
Imprint: Springer,
فروست / شماره : SpringerBriefs in Computer Science, ; 2191-5768. ;
SpringerBriefs in Computer Science, ; 2191-5768. ;
چکیده: This book provides the first systematic study of facial kinship verification, a new research topic in biometrics. It presents three key aspects of facial kinship verification: 1) feature learning for kinship verification, 2) metric learning for kinship verification, and 3) video-based kinship verification, and reviews state-of-the-art research findings on facial kinship verification. Many of the feature-learning and metric-learning methods presented in this book can also be easily applied for other face analysis tasks, e.g., face recognition, facial expression recognition, facial age estimation and gender classification. Further, it is a valuable resource for researchers working on other computer vision and pattern recognition topics such as feature-learning-based and metric-learning-based visual analysis. ;
توضیحات : Printed edition: ; 9789811044830. ;


SpringerLink (Online service) ;

آدرس: http://localhost/handle/Hannan/360
شابک : 9789811044847 ;
9789811044830 (print) ;
اطلاعات بیشتر: X, 82 p. 33 illus., 29 illus. in color. ; online resource. ;
مجموعه(های):مهندسی مدیریت ساخت

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9789811044847.pdf3.1 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Facial Kinship Verification
عنوان دیگر: A Machine Learning Approach /
پدیدآورنده: Yan, Haibin. ;;Lu, Jiwen. ;
کلید واژه ها: Computer Science;Image processing. ;;Pattern recognition. ;;Biometrics (Biology). ;;Computer Science;Image Processing and Computer Vision. ;;Pattern Recognition. ;;Biometrics. ;
تاریخ انتشار: 2017
محل نشر: Singapore :
ناشر: Springer Singapore :
Imprint: Springer,
فروست / شماره : SpringerBriefs in Computer Science, ; 2191-5768. ;
SpringerBriefs in Computer Science, ; 2191-5768. ;
چکیده: This book provides the first systematic study of facial kinship verification, a new research topic in biometrics. It presents three key aspects of facial kinship verification: 1) feature learning for kinship verification, 2) metric learning for kinship verification, and 3) video-based kinship verification, and reviews state-of-the-art research findings on facial kinship verification. Many of the feature-learning and metric-learning methods presented in this book can also be easily applied for other face analysis tasks, e.g., face recognition, facial expression recognition, facial age estimation and gender classification. Further, it is a valuable resource for researchers working on other computer vision and pattern recognition topics such as feature-learning-based and metric-learning-based visual analysis. ;
توضیحات : Printed edition: ; 9789811044830. ;


SpringerLink (Online service) ;

آدرس: http://localhost/handle/Hannan/360
شابک : 9789811044847 ;
9789811044830 (print) ;
اطلاعات بیشتر: X, 82 p. 33 illus., 29 illus. in color. ; online resource. ;
مجموعه(های):مهندسی مدیریت ساخت

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9789811044847.pdf3.1 MBAdobe PDFتصویر
مشاهده فایل