Segmentation and labeling of face images for electronic documents

Authors:
Marko Subašić;Sven Lončarić;Adam Hei
Affiliations:
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia;Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia;Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 16
Cited 1

Automatic Interpretation and Coding of Face Images Using Flexible Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved Boosting Algorithms Using Confidence-rated Predictions

Machine Learning - The Eleventh Annual Conference on computational Learning Theory
The FERET Evaluation Methodology for Face-Recognition Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time eye detection and tracking under various light conditions

ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Mean Shift: A Robust Approach Toward Feature Space Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Detection in Color Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Appearance Models

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Training Support Vector Machines: an Application to Face Detection

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Robust Real-Time Face Detection

International Journal of Computer Vision
A Bayesian Mixture Model for Multi-View Face Alignment

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Meticulously Detailed Eye Region Model and Its Application to Analysis of Facial Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Generative Sketch Model for Human Hair Analysis and Synthesis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection and Analysis of Hair

IEEE Transactions on Pattern Analysis and Machine Intelligence
Expert system segmentation of face images

Expert Systems with Applications: An International Journal
Discriminative Face Alignment

IEEE Transactions on Pattern Analysis and Machine Intelligence
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition

IEEE Transactions on Image Processing

ORACM: Online region-based active contour model

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

Face image segmentation and labeling is required in several quality tests which a face image has to pass in order to be included into an electronic ID document. The complexity of such a problem depends on the complexity of the scene, but in general there are no restrictions to the scene. The procedure that we have developed segments a face image into five regions: skin, hair, shoulders, background and padding frame. The presented method consists of two main steps: oversegmentation and labeling. In the first step, the image is segmented into homogeneous regions, whereas in the second step, the labeling of the homogeneous regions is performed. In the course of our research we experimented with several methods for the two described steps, and in this paper we present a setup in which the oversegmentation is performed using the mean-shift segmentation, and labeling is performed using the AdaBoost classification algorithm. Such setup has produced the best results in our experiments which we also present herein.