Authors:
Ji-eun Lee
and
Nojun Kwak
Affiliation:
Ajou University, Korea, Republic of
Keyword(s):
Correlation coefficient, Occluded face, Occlusion detection, Face image recovery.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Bioinformatics and Systems Biology
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image Understanding
;
Image-Based Modeling
;
Information Retrieval and Learning
;
Missing Data
;
Object Recognition
;
Pattern Recognition
;
Software Engineering
;
Spectral Methods
;
Theory and Methods
Abstract:
In this paper, we propose a method to detect and recover the occluded parts of face images using the correlation between pairs of pixels. In the training stage, correlation coefficients between every pairs of pixels are calculated using the occlusion-free training face images. Once a new face image is shown, the occluded area is detected and recovered using correlation coefficients obtained in the training stage. We compare the performance of the proposed method with the conventional method based on PCA. The results show that the proposed method detects and recovers occluded area with much smaller noises than the conventional PCA based method.