메뉴 건너뛰기




Volumn , Issue , 2009, Pages 1635-1642

Learning based automatic face annotation for arbitrary poses and expressions from frontal images only

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DEFORMATION; IMAGE RECONSTRUCTION; OBJECT TRACKING; TEXTURES;

EID: 70450209181     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206766     Document Type: Conference Paper
Times cited : (12)

References (25)
  • 2
    • 4644302314 scopus 로고    scopus 로고
    • Automatic construction of active appearance models as an image coding problem
    • S. Baker, I. Matthews, and J. Schneider. Automatic Construction of Active Appearance Models as an Image Coding Problem. IEEE PAMI, 26(10):1380-1384, 2004.
    • (2004) IEEE PAMI , vol.26 , Issue.10 , pp. 1380-1384
    • Baker, S.1    Matthews, I.2    Schneider, J.3
  • 4
    • 0141502062 scopus 로고    scopus 로고
    • Face recognition based on fitting a 3D morphable model
    • V. Blanz and T. Vetter. Face Recognition Based on Fitting a 3D Morphable Model. IEEE PAMI, 25:1063-1074, 2003.
    • (2003) IEEE PAMI , vol.25 , pp. 1063-1074
    • Blanz, V.1    Vetter, T.2
  • 5
    • 0038067831 scopus 로고    scopus 로고
    • A unified non-rigid feature registration method for brain mapping
    • H. Chui, L. Win, R. Schultz, J. Duncan, and A. Rangarajan. A Unified Non-rigid Feature Registration Method for Brain Mapping. Medical Image Analysis, 7(2):113-130, 2003.
    • (2003) Medical Image Analysis , vol.7 , Issue.2 , pp. 113-130
    • Chui, H.1    Win, L.2    Schultz, R.3    Duncan, J.4    Rangarajan, A.5
  • 10
    • 0000201141 scopus 로고    scopus 로고
    • Improving regressors using boosting techniques
    • H. Drucker. Improving Regressors using Boosting Techniques. In Proc. ICML'97, pages 107-115, 1997.
    • (1997) Proc. ICML'97 , pp. 107-115
    • Drucker, H.1
  • 11
    • 84875882368 scopus 로고    scopus 로고
    • Interpreting face images using active appearance models
    • G. Edwards, C. Taylor, and T. Cootes. Interpreting Face Images Using Active Appearance Models. In Proc. IEEE FG'98, pages 300-305, 1998.
    • Proc. IEEE FG'98 , pp. 1998
    • Edwards, G.1    Taylor, C.2    Cootes, T.3
  • 12
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. In Journal of Computer and System Sciences, 55(1), pages 119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 14
    • 0001154799 scopus 로고    scopus 로고
    • A method of non-rigid correspondence for automatic landmark identification
    • A. Hill and C. Taylor. A Method of Non-rigid Correspondence for Automatic Landmark Identification. In Proc. BMVC 1996, volume 2, pages 323-332, 1996.
    • (1996) Proc. BMVC 1996 , vol.2 , pp. 323-332
    • Hill, A.1    Taylor, C.2
  • 15
    • 0345414118 scopus 로고    scopus 로고
    • Images as bags of pixels
    • T. Jebara. Images as Bags of Pixels. In Proc. IEEE ICCV 2003, volume 1, pages 265-272, 2003.
    • (2003) Proc. IEEE ICCV 2003 , vol.1 , pp. 265-272
    • Jebara, T.1
  • 16
    • 0033284915 scopus 로고    scopus 로고
    • D. Lowe, object recognition from local scale-invariant features
    • D. Lowe. Object recognition from local scale-invariant features. In Proc. IEEE ICCV, pages 1150-1157, 1999.
    • (1999) Proc. IEEE ICCV , pp. 1150-1157
  • 17
    • 3042791915 scopus 로고    scopus 로고
    • Active appearance models revisited
    • I. Matthews and S. Baker. Active Appearance Models Revisited. IJCV, 60(2):135-164, 2004.
    • (2004) IJCV , vol.60 , Issue.2 , pp. 135-164
    • Matthews, I.1    Baker, S.2
  • 19
    • 0034290919 scopus 로고    scopus 로고
    • The feret evaluation methodology for face recognition algorithms
    • P. Phillips, H. Moon, S. Rizvi, and P. Rauss. The FERET Evaluation Methodology for Face Recognition Algorithms. In IEEE PAMI, pages 1090-1104, 2000.
    • (2000) IEEE PAMI , pp. 1090-1104
    • Phillips, P.1    Moon, H.2    Rizvi, S.3    Rauss, P.4
  • 22
    • 34948907356 scopus 로고    scopus 로고
    • Monocular and stereo methods for aam learning from video
    • DOI: 10.1109/ICCV.2007.4409106
    • J. Saragih and R. Goecke. Monocular and Stereo Methods for AAM Learning from Video. In Proc. IEEE CVPR, 2007. DOI: 10.1109/ICCV.2007.4409106.
    • (2007) Proc. IEEE CVPR
    • Saragih, J.1    Goecke, R.2
  • 23
    • 0347380229 scopus 로고    scopus 로고
    • The cmu pose, illumination, and expression database
    • T. Sim, S. Baker, and M. Bsat. The CMU Pose, Illumination, and Expression Database. In IEEE PAMI, pages 1615-1618, 2003.
    • (2003) IEEE PAMI , pp. 1615-1618
    • Sim, T.1    Baker, S.2    Bsat., M.3
  • 25
    • 0037028833 scopus 로고    scopus 로고
    • Automatically building appearance models from image sequences using salient, features
    • Apr.
    • K.Walker, T. Cootes, and C. Taylor. Automatically Building Appearance Models from Image Sequences Using Salient Features. Image and Vision Computing, 20(5-6):435-440, Apr. 2002.
    • (2002) Image and Vision Computing , vol.20 , Issue.5-6 , pp. 435-440
    • Walker, K.1    Cootes, T.2    Taylor, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.