Demographical Classification by Shape Free Texture and Boosting Learning

Craw I, Tock D, and Bennett A. Finding face features. Proc. ECCV, Santa Margherita Ligure, Italy, 1992: 92-96.[2]Yuille A L, Hallinan P W, and Cohen D S. Feature extraction from faces using deformable templates. IJCV, 1992, 8(2), 99-111.[3]Young Ho Kwon and Niels da Vitoria Lobo. Age classification from facial images. Proc. CVPR, Seattle. Washington, USA, 1994: 762-767.[4]Turk M A and Pentland A P. Face recognition using eigenfaces. Proc. CVPR, Hawaii, USA, 1992: 586-591.[5]Lanitis A, Taylor C J, and Cootes T F. Modeling the process of ageing in face images. Proc. ICCV, Kerkyra, Greece , 1999: 131-136.[6]Moghaddam B and Yang M H. Gender classification with support vector machines. PAMI, 2002, 24(5): 707-711.[7]Shakhnarovich G, Viola P, and Moghaddam B. A unified learning framework for real time face detection and classification. Automatic face and gesture recognition, Washington, USA, 2002: 16-26.[8]Wu Bo, Ai Haizhou, and Huang Chang. LUT-based adaboost for gender classification. AVBPA, Guildford, 2003: 104-110.[9]Huang Chang and Ai Haizhou, et al.. Boosting nested cascade detector for multi-view face detection. ICPR, Cambridge, UK, 2004: 23-26.[10]Zhang Li and Ai Haizhou, et al.. Robust face alignment based on local texture classifiers. ICIP, Genoa, Italy, September 11-14, 2005: 354-357.[11]Yang Zhiguang, Li Ming, and Ai Haizhou. An experimental study on automatic face gender classification. ICPR, Hong Kong, China, 2006: 1099-1102.[12]Viola P and Jones M. Rapid object detection using a boosted cascade of simple features. CVPR, Kauai, Hawaii, USA, 2001: 511-518.[13]Ojala T, Pietikainen M, and Harwood D. A comparative study of texture measures with classification based on feature distribution[J].Pattern Recognition.1996, 29(1):51-59[14]Laurenz Wiskott, Jean-Marc Fellous, Norbert Kruger, and Christoph von der Malsburg. Face recognition by elastic bunch graph matching. PAMI, 1997, 19(7): 775-779.[15]Wu Bo, Ai Haizhou, Huang Chang, and Lao Shihong. Fast rotation invariant multi-view face detection based on real adaboost. Automatic face and gesture recognition, Seoul, Korea, 2004: 79-84.[16]Ojala T, Pietikainen M, and Maenpaa M. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. PAMI, 2002, 24(7): 971-987.