By Frank Lin, Clinton Fookes, Vinod Chandran, Sridha Sridharan (auth.), Seong-Whan Lee, Stan Z. Li (eds.)
Many purposes in government,airport, advertisement, security and legislation enfor- mentareashaveabasicneedforautomaticauthenticationofhumansbothlocally orremotelyonaroutinebasis.Thedemandforautomaticauthenticationsystems utilizing biometrics, together with face, ?ngerprint, gait, and iris, has been expanding in lots of facets of lifestyles. the aim of the 2007 overseas convention on Biometrics (ICB 2007) used to be to supply a platform for researchers, engineers, s- tem architects and architects to record contemporary advances and alternate principles within the quarter of biometrics and comparable applied sciences. ICB 2007 got quite a few fine quality examine papers. In all 303 papers have been submitted from 29 nations all over the world. of those 34 papers have been permitted for oral presentation and ninety one papers have been accredited for poster presentation. this system consisted of 7 oral periods, 3 poster periods, educational periods, and 4 keynote speeches on numerous subject matters on biometrics. we want to thank the entire authors who submitted their manuscripts to the convention, and the entire participants of this system Committee and reviewers who spent worthy time delivering reviews on every one paper. we wish to thank the convention administrator and secretariat for making the convention winning. We additionally desire to recognize the IEEE, IAPR, Korea details technological know-how Society, Korea collage, Korea collage BK21 software program examine department, KoreaScience and EngineeringFoundation,KoreaUniversity Institute of desktop, info and verbal exchange, Korea Biometrics organization, Lumidigm Inc., Ministry of knowledge and conversation Republic of Korea, and Springer for sponsoring and aiding this convention. August 2007 Seong-Whan Lee Stan Z. Li association ICB 2007 used to be prepared through middle for Arti?cial imaginative and prescient learn, Korea University.
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Additional info for Advances in Biometrics: International Conference, ICB 2007, Seoul, Korea, August 27-29, 2007. Proceedings
For this non-metric feature value, multi-branch regression tree is designed as weak classifiers. We implement Gentle adaboost for feature selection and classifier construction. Then a cascade detector is built. Another advantage of MBLBP is that the number of exhaustive set of MB-LBP features is much smaller than Haar-like features (about 1/20 of Haar-like feature for a sub-window of size 20 × 20). Boosting-based method use Adaboost algorithm to select a significant feature set from the large complete feature set.
4, there are multiple detected face windows, even though there is only one face in the input image. For real face region, there are detected face windows with same location but diﬀerent scale(Fig. 5-(a)) and detected face windows with same scale but diﬀerent location(Fig. 5-(b)). However, falsely accepted regions do not show this property. Consequently, we can determine the regions where multiple detected face windows are overlapped as face region and the regions with no overlapped detected face windows as falsely accepted region.
Statistical learning of multi-view face detection. K. ) ECCV 2002. LNCS, vol. 2359. Springer, Heidelberg (2002) 6. : An extended set of haar-like features for rapid object detection. In: ICIP (2002) 7. : Joint haar-like features for face detection. In: ICCV (2005) 8. : A comparative study of texture measures with classification based on feature distributions. Pattern Recognition (January 1996) 9. : Training support vector machines: an application to face detection. In: CVPR (1997) 10. : Neural network-based face detection.
Advances in Biometrics: International Conference, ICB 2007, Seoul, Korea, August 27-29, 2007. Proceedings by Frank Lin, Clinton Fookes, Vinod Chandran, Sridha Sridharan (auth.), Seong-Whan Lee, Stan Z. Li (eds.)