9783845428895 - face localization, color images and postural degradation: face recognition, postural equilibrium, detection and statistical analysis di srivastava, chandan (3 risultati)
- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 43,35
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Face Localization, Color Images and Postural Degradation | Face Recognition, Postural Equilibrium, Detection and Statistical Analysis | Chandan Srivastava | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783845428895 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengeri…cher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 41,67
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Srivastava ChandanChandan Srivastava is doctoral research fellow at Universitat Rovira i Virgili, Tarragona, Spain. He did his master research at the Department of Electrical Engineering, IIT Kanpur, I…ndia and UTT Troyes, France. His.
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 49,59
EUR 60,62 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present research explores experimental evaluation of the face localization method using skin color based approach and works on the color images. This method first corrects the used bias by lighting compensation techniques which auto…matically estimate the references white pixels. The outcome difficulty of localizing the low and high luma skin tones is performed by applying a nonlinear transformation to the YCbCr color space. Proposed method is able to localize skin regions over the face images and thereby identifies the candidate based on the skin patches. The present study continues towards the identification of the most suitable unique class of model and the parameter reductions for elderly fall prevention.
