Synopsis
Abstract: This paper explores the identification of human face and eye instill frontal color pictures. First; the appropriate pre-processing stage is done. It requires image refresh, RGB to grayscale conversion, image binarization, noise reduction, and removal of small artifacts. The proposed algorithm is then extended to the position of the face by detecting the edges of the face using the detection of pixel color variations in the binary image. Finally, a normalized cross-relation is applied to determine the precise location of the eyes within the localized region of the face. the proposed algorithm is robust enough to achieve approximately 94% accuracy and can locate a face in single face images.
"synopsis" may belong to another edition of this title.
Search results for Face Detection Based on Skin Color Segmentation: Computer...
Seller Image
Face Detection Based on Skin Color Segmentation | Computer Vision and Image Processing. DE
Published by
LAP Lambert Academic Publishing, 2022
ISBN 10: 3659616214
ISBN 13: 9783659616211
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Face Detection Based on Skin Color Segmentation | Computer Vision and Image Processing. DE | Mazin Riyadh Al-Hameed | Taschenbuch | Großformatiges Paperback. Klappenbroschur | Englisch | LAP Lambert Academic Publishing | EAN 9783659616211 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 121390131
Seller Image
Face Detection Based on Skin Color Segmentation : Computer Vision and Image Processing.DE
Published by
LAP Lambert Academic Publishing, 2022
ISBN 10: 3659616214
ISBN 13: 9783659616211
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Abstract: This paper explores the identification of human face and eye instill frontal color pictures. First; the appropriate pre-processing stage is done. It requires image refresh, RGB to grayscale conversion, image binarization, noise reduction, and removal of small artifacts. The proposed algorithm is then extended to the position of the face by detecting the edges of the face using the detection of pixel color variations in the binary image. Finally, a normalized cross-relation is applied to determine the precise location of the eyes within the localized region of the face. the proposed algorithm is robust enough to achieve approximately 94% accuracy and can locate a face in single face images. Seller Inventory # 9783659616211