Browse > Article
http://dx.doi.org/10.9717/kmms.2012.15.4.508

Accurate Face Pose Estimation and Synthesis Using Linear Transform Among Face Models  

Suvdaa, B. (몽골국립대학교 정보기술학부)
Ko, J. (몽골국립대학교 정보기술학부)
Publication Information
Journal of Korea Multimedia Society / v.15, no.4, 2012 , pp. 508-515 More about this Journal
Abstract
This paper presents a method that estimates face pose for a given face image and synthesizes any posed face images using Active Appearance Model(AAM). The AAM that having been successfully applied to various applications is an example-based learning model and learns the variations of training examples. However, with a single model, it is difficult to handle large pose variations of face images. This paper proposes to build a model covering only a small range of angle for each pose. Then, with a proper model for a given face image, we can achieve accurate pose estimation and synthesis. In case of the model used for pose estimation was not trained with the angle to synthesize, we solve this problem by training the linear relationship between the models in advance. In the experiments on Yale B public face database, we present the accurate pose estimation and pose synthesis results. For our face database having large pose variations, we demonstrate successful frontal pose synthesis results.
Keywords
Face pose estimation; face pose synthesis; Active Appearance Model; Face Recognition;
Citations & Related Records
연도 인용수 순위
  • Reference
1 F. Wheeler, R. Weiss, and P. Tu, "Face Recognition at a Distance System for Surveillance Applications," Proc. of IEEE Int'l Conf. on Biometrics: Theory Applications and Systems, pp. 1-9, 2010.
2 N. Bellotto, E. Sommerlade, B. Benfold, C. Bibby, I. Reid, D. Roth, C. Fernández, L. V. Gool, and J. Gonzàlez, "A Distributed Camera System for Multi-Resolution Surveillance," Proc. of ACM/ IEEE Int'l Conf. on Distributed Smart Cameras, pp. 1-8, 2009.
3 N. Krahnstoever, T. Yu, S.-N. Lim, K. Patwardhan, and P. Tu, "Collaborative Realtime Control of Active Cameras in Large Scale Surveillance Systems," Proc. of Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications, pp. 1-12, 2008.
4 T.F. Cootes, G.J. Edwards, and C.J. Taylor. "Active Appearance Models," IEEE Trans. on Pattern Anal. Mach. Intelligence, Vol.23, No. 6, pp. 681-685, 2001.   DOI
5 S.Baker and I.Matthews. "Lucas-Kanade 20 years On: A Unifying Framework," Int'l Journal of Computer Vision, Vol.56, No.3, pp. 221-255, 2004.   DOI   ScienceOn
6 T.F. Cootes, G.V. Wheeler, K.N. Walker, and C.J. Taylor, "View-Based Active Appearance Models," Image and Vision Computing, Vol. 20, Issues. 9-10, pp. 657-664, 2002.   DOI   ScienceOn
7 C. Hu, R. Feris, and M. Turk, "Real-time View-based Face Alignment using Active Wavelet Networks," Proc. of IEEE Int'l Workshop on Analysis and Modeling of Faces and Gestures, pp. 215-221, 2003.
8 M. Uzumcii, A.F. Frangi, M. Sonka, J.H. Reiber, and B.P. Lelieveldt, "ICA vs. PCA Active Appearance Models: Application to Cardiac MR Segmentation", LNCS, No. 2878, pp. 451-458, 2003.
9 S. Mika, B. Scholkopf, A. Smola, G. Ratsch, K. Muller, M. Scholz, and G. Ratsch, "Kernel- PCA and De-Noising in Feature Spaces," Proc. of Advances in Neural Information Processing Systems, Vol.11, pp. 536-542, 1999.
10 C.M. Christoudias and T. Darrell, "On Modeling Nonlinear Shape-and-Texture Appearance Manifolds," Proc. of the IEEE Int'l Conf. on CVPR, Vol.2, pp. 1067-1074, 2005.
11 E. M. Chutorian and M. M. Trivedi, "Head Pose Estimation in Computer Vision: A Survey," IEEE Trans. on Pattern Recognition and Machine Intelligence, Vol.31, No.4, pp. 607-626, 2008.
12 A.U. Batur and M.H. Hayes, "Adaptive Active Appearance Models," IEEE Trans. on Image Processing, Vol.14, No.11, pp. 1707-1720, 2005.   DOI   ScienceOn
13 이철웅, 김일민, 조세홍, "한국 표준 얼굴 데이터를 적용한 3D 가상얼굴성형 제작 시스템 설계 및 구현," 한국멀티미디어학회논문지, Vol.12, No.5, pp. 737-744, 2009.