{"_id":"CCDsje5ZAoiNw5TqY","bibbaseid":"marcel-bengio-improvingfaceverificationusingskincolorinformation-2002","authorIDs":[],"author_short":["Marcel, S.","Bengio, S."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["S."],"propositions":[],"lastnames":["Marcel"],"suffixes":[]},{"firstnames":["S."],"propositions":[],"lastnames":["Bengio"],"suffixes":[]}],"title":"Improving Face Verification using Skin Color Information","booktitle":"Proceedings of the 16th International Conference on Pattern Recognition, ICPR","year":"2002","volume":"2","pages":"11–15","publisher":"IEEE Computer Society Press","url":"publications/ps/marcel_2002_icpr.ps.gz","pdf":"publications/pdf/marcel_2002_icpr.pdf","djvu":"publications/djvu/marcel_2002_icpr.djvu","original":"2002/skin_icpr","idiap":"publications/pdf/rr01-44.pdf","topics":"biometric_authentication","web":"http://dx.doi.org/10.1109/ICPR.2002.1048318","abstract":"The performance of face verification systems has steadily improved over the last few years, mainly focusing on models rather than on feature processing. State-of-the-art methods often use the gray-scale face image as input. In this paper, we propose to use an additional feature to the face image: the skin color. The new feature set is tested on a benchmark database, namely XM2VTS, using a simple discriminant artificial neural network. Results show that the skin color information improves the performance.","categorie":"C","bibtex":"@inproceedings{marcel:2002:icpr,\n author = {S. Marcel and S. Bengio},\n title = {Improving Face Verification using Skin Color Information},\n booktitle = {Proceedings of the 16th International Conference on Pattern Recognition, {ICPR}},\n year = 2002,\n volume = 2,\n pages = {11--15},\n publisher = {IEEE Computer Society Press},\n url = {publications/ps/marcel_2002_icpr.ps.gz},\n pdf = {publications/pdf/marcel_2002_icpr.pdf},\n djvu = {publications/djvu/marcel_2002_icpr.djvu},\n original= {2002/skin_icpr},\n idiap = {publications/pdf/rr01-44.pdf},\n topics = {biometric_authentication},\n web = {http://dx.doi.org/10.1109/ICPR.2002.1048318},\n abstract = {The performance of face verification systems has steadily improved over the last few years, mainly focusing on models rather than on feature processing. State-of-the-art methods often use the gray-scale face image as input. In this paper, we propose to use an additional feature to the face image: the skin color. The new feature set is tested on a benchmark database, namely XM2VTS, using a simple discriminant artificial neural network. Results show that the skin color information improves the performance.},\n categorie = {C}\n}\n\n","author_short":["Marcel, S.","Bengio, S."],"key":"marcel:2002:icpr","id":"marcel:2002:icpr","bibbaseid":"marcel-bengio-improvingfaceverificationusingskincolorinformation-2002","role":"author","urls":{"Paper":"http://bengio.abracadoudou.com/publications/ps/marcel_2002_icpr.ps.gz"},"downloads":0},"bibtype":"inproceedings","biburl":"http://bengio.abracadoudou.com/samy.bib","creationDate":"2020-03-18T03:43:27.462Z","downloads":0,"keywords":[],"search_terms":["improving","face","verification","using","skin","color","information","marcel","bengio"],"title":"Improving Face Verification using Skin Color Information","year":2002,"dataSources":["9NCW2CDr4M3s5DvNX"]}