TY - JOUR
T1 - Pre-attentive detection of perceptually important regions in facial images
AU - Golovan, Alexander
AU - Yoo, Myung Hyun
AU - Lee, Seong Whan
N1 - Funding Information:
*This research was supported by Creative Research Initiatives of the Ministry of Science and Technology, Korea. Olivetti research laboratory in Cambridge
PY - 2000
Y1 - 2000
N2 - Cascade method, a new way of calculating orientation components in an image, was developed to extract some important regions from a given image of human face. By combining local orientation components and thresholding them, we construct five feature maps and a final composite map which is a linear combination of the five maps. As in human visual perception, the composite map operates like pre-attentive processing in early stage of vision, and then shows robustness in selecting the most informative areas of images. For 50 non-normalized face images from ORL1 database, it showed 91% of detecting accuracy which is the ratio of corresponding points between the feature maps of whole image and same maps of important regions in that image such as eyes, nose and mouth, etc.
AB - Cascade method, a new way of calculating orientation components in an image, was developed to extract some important regions from a given image of human face. By combining local orientation components and thresholding them, we construct five feature maps and a final composite map which is a linear combination of the five maps. As in human visual perception, the composite map operates like pre-attentive processing in early stage of vision, and then shows robustness in selecting the most informative areas of images. For 50 non-normalized face images from ORL1 database, it showed 91% of detecting accuracy which is the ratio of corresponding points between the feature maps of whole image and same maps of important regions in that image such as eyes, nose and mouth, etc.
UR - http://www.scopus.com/inward/record.url?scp=33750958304&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2000.905662
DO - 10.1109/ICPR.2000.905662
M3 - Article
AN - SCOPUS:33750958304
SN - 1051-4651
VL - 15
SP - 1092
EP - 1095
JO - Proceedings - International Conference on Pattern Recognition
JF - Proceedings - International Conference on Pattern Recognition
IS - 1
ER -