9783659788949 - pose invariant face recognition using pca di patel, nehal; chavda, jaimin (9 risultati)

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Taschenbuch. Condizione: Neu. Pose Invariant Face Recognition using PCA | Nehal Patel (u. a.) | Taschenbuch | 92 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659788949 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter…: preigu.

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Both face detection and recognition are very curious areas in the field of image analysis, computer vision and pattern recognition that has received a big deal of attention over the last few years. It has been widely used for the p…urpose of security and forensic science for identify of an individual e.g. at the place of video surveillance, airports, traffic, terrorist attacks.To analyze the information of face images: faster, robust and efficient face detection and recognition algorithms are required. This system has been facing problems in recognizing subjects of varying poses, illumination conditions, facial expressions, and face occlusions. Due to variation in pose relative to camera certain features like smile, open eyes or mouth, left side or right side of mouth or eyes, occluded mouth or eyes can't be detected and extracted properly. It will be a critical task to detect a person with varying poses in vertical direction. In this work we present,face detection is performed by skin tone. Through PCA extract features and system is getting trained and tested. For face recognition process, Euclidean distance is measured and based on that minimum distance face is recognized. 92 pp. Englisch.

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Both face detection and recognition are very curious areas in the field of image analysis, computer vision and pattern recognition that has received a big deal of attention over the last few years. It has been widely used for the purpos…e of security and forensic science for identify of an individual e.g. at the place of video surveillance, airports, traffic, terrorist attacks.To analyze the information of face images: faster, robust and efficient face detection and recognition algorithms are required. This system has been facing problems in recognizing subjects of varying poses, illumination conditions, facial expressions, and face occlusions. Due to variation in pose relative to camera certain features like smile, open eyes or mouth, left side or right side of mouth or eyes, occluded mouth or eyes can't be detected and extracted properly. It will be a critical task to detect a person with varying poses in vertical direction. In this work we present,face detection is performed by skin tone. Through PCA extract features and system is getting trained and tested. For face recognition process, Euclidean distance is measured and based on that minimum distance face is recognized.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patel NehalNehal Patel received her B.E.Degree in Information Technology from G.T.U,India in 2012 and M.Tech Degree in Information Technology from CHARUSAT,Changa,India in 2014. Currently she is workin…g as an Assistant Professor at D.

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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Both face detection and recognition are very curious areas in the field of image analysis, computer vision and pattern recognition that has received a big deal of attention over the last few years. It has been widely used for the purpo…se of security and forensic science for identify of an individual e.g. at the place of video surveillance, airports, traffic, terrorist attacks.To analyze the information of face images: faster, robust and efficient face detection and recognition algorithms are required. This system has been facing problems in recognizing subjects of varying poses, illumination conditions, facial expressions, and face occlusions. Due to variation in pose relative to camera certain features like smile, open eyes or mouth, left side or right side of mouth or eyes, occluded mouth or eyes can't be detected and extracted properly. It will be a critical task to detect a person with varying poses in vertical direction. In this work we present,face detection is performed by skin tone. Through PCA extract features and system is getting trained and tested. For face recognition process, Euclidean distance is measured and based on that minimum distance face is recognized.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.