DETECTION AND RECOVERY OF OCCLUDED FACE IMAGES BASED ON CORRELATION BETWEEN PIXELS
Jieun Lee, Nojun Kwak · 2012
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.