Demographic classification with local binary patterns

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4642 LNCS, Issue , 2007, Pages 464-473

  Yang, Zhiguang ^a   Ai, Haizhou ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Demographic classification; LBPH; Real AdaBoost

Indexed keywords

ALGORITHMS; ITERATIVE METHODS; OPTIMIZATION; PROBLEM SOLVING; TEXTURES;

CHI SQUARE; DEMOGRAPHIC CLASSIFICATION; IMAGE OPERATOR; LBP HISTOGRAM; ORDINARY BINARY CLASSIFICATION; REAL ADABOOST;

PATTERN RECOGNITION;

EID: 37849047510     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74549-5_49     Document Type: Conference Paper

References (15)

1. Ahonen, T., Hadid, A., Pietikainen, M.: Face recognition with local binary patterns. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469-481. Springer, Heidelberg (2004)
2. Feng, X., Cui, J., Pietikainen, M., Hadid, A.: Real time facial expression recognition using local binary patterns and linear programming. In: MICAI, pp. 328-336 (November 2005)
3. Gutta, S., Wechsler, H., Phillips, P.J.: Gender and ethnic classification of face images. In: FG, pp. 194-199 (April 1998)
4. Hosoi, S., Takikawa, E., Kawade, M.: Ethnicity estimation with facial images. In: FGR, pp. 195-200 (May 2004)
5. Huang, C., Ai, H., Lao, S.: Boosting nested cascade detector for multi-view face detection. In: ICPR, pp. 415-418 (August 2004)
6. Huang, X., Li, S.Z., Wang, Y.: Jensen-shannon boosting learning for object recognition. In: CVPR, pp. 144-149 (June 2005)
7. Kwon, Y.H., da Vitoria Lobo, N.: Age classification from facial images. Computer Vision and Image Understanding 74(1), 1-21 (1999)
8. Lu, X., Chen, H., Jain, A.K.: Multimodal facial gender and ethnicity identification. In: ICB, pp. 554-561 (January 2006)
9. Moghaddam, B., Yang, M.-H.: Learning gender with support faces. IEEE Trans. Pattern Anal. Mach. Intell. 24(5), 707-711 (2002)
10. Ojala, T., Pietikainen, M., Maenpaa, M.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 971-987 (2002)
11. Phillips, P., Moon, H., Rizvi, S.A., Rauss, P.J.: The feret evaluation methodology for face-recognition algorithms. IEEE Trans. PAMI 22(10), 1090-1104 (2000)
12. Schapire, R.E., Singer, Y.: Improved boosting algorithms using confidence-rated predictions. Machine Learning 37(3), 297-336 (1999)
13. Sim, T., Baker, S., Bsat, M.: The cmu pose, illumination, and expression (pie) database. In: FGR, pp. 53-58 (May 2002)
14. Ojala, T., Pietikainen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distribution. Pattern Recognition 29(1), 51-59 (1996)
15. Wu, B., Ai, H., Huang, C.: Lut-based adaboost for gender classification. In: AVBPA, pp. 104-110 (June 2003)