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Face Pose Recognition Based on Monocular Digital Imagery and Stereo-based Estimation of Its Precision : Volume Xl-5, Issue 1 (06/06/2014)

By Gorbatsevich, V.

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Book Id: WPLBN0004015206
Format Type: PDF Article :
File Size: Pages 7
Reproduction Date: 2015

Title: Face Pose Recognition Based on Monocular Digital Imagery and Stereo-based Estimation of Its Precision : Volume Xl-5, Issue 1 (06/06/2014)  
Author: Gorbatsevich, V.
Volume: Vol. XL-5, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection, Copernicus Publications
Historic
Publication Date:
2014
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Zheltov, S., Vizilter, Y., Knyaz, V., & Gorbatsevich, V. (2014). Face Pose Recognition Based on Monocular Digital Imagery and Stereo-based Estimation of Its Precision : Volume Xl-5, Issue 1 (06/06/2014). Retrieved from http://www.hawaiilibrary.net/


Description
Description: St. Res. Institute of Aviation Systems (GosNIIAS), 125319, 7, Victorenko str., Moscow, Russia. A technique for automated face detection and its pose estimation using single image is developed. The algorithm includes: face detection, facial features localization, face/background segmentation, face pose estimation, image transformation to frontal view. Automatic face/background segmentation is performed by original graph-cut technique based on detected feature points. The precision of face orientation estimation based on monocular digital imagery is addressed. The approach for precision estimation is developed based on comparison of synthesized facial 2D images and scanned face 3D model. The software for modelling and measurement is developed. The special system for non-contact measurements is created. Required set of 3D real face models and colour facial textures is obtained using this system. The precision estimation results demonstrate the precision of face pose estimation enough for further successful face recognition.

Summary
Face Pose Recognition Based on Monocular Digital Imagery and Stereo-Based Estimation of its Precision

 

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