NCJ Number
240279
Journal
Journal of Forensic Sciences Volume: 57 Issue: 3 Dated: May 2012 Pages: 691-698
Date Published
May 2012
Length
8 pages
Annotation
In this paper, the face localization in images is carried out by detecting symmetric areas in the images.
Abstract
Image analysis methods commonly used in forensic anthropology do not have desirable robustness properties, which can be ensured by robust statistical methods. In this paper, the face localization in images is carried out by detecting symmetric areas in the images. Symmetry is measured between two neighboring rectangular areas in the images using a new robust correlation coefficient, which down-weights regions in the face violating the symmetry. Raw images of faces without usual preliminary transformations are considered. The robust correlation coefficient based on the least weighted squares regression yields very promising results also in the localization of such faces, which are not entirely symmetric. Standard methods of statistical machine learning are applied for comparison. The robust correlation analysis can be applicable to other problems of forensic anthropology. Abstract published by arrangement with John Wiley & Sons.