Abstract
Accurate rigid and non-rigid tracking of faces is a challenging task in computer vision. Recently, appearance-based 3D face tracking methods have been proposed. These methods can successfully tackle the image variability and drift problems. However, they may fail to provide accurate out-of-plane face motions since they are not very sensitive to out-of-plane motion variations. In this paper, we present a framework for fast and accurate 3D face and facial action tracking. Our proposed framework retains the strengths of both appearance and 3D data-based trackers. We combine an adaptive appearance model with an online stereo-based 3D model. We provide experiments and performance evaluation which show the feasibility and usefulness of the proposed approach.
This work was supported by the MEC project TIN2005-09026 and The Ramón y Cajal Program.
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Moreno, F., Tarrida, A., Andrade-Cetto, J., Sanfeliu, A.: 3D real-time tracking fusing color histograms and stereovision. In: IEEE International Conference on Pattern Recognition (2002)
Cascia, M., Sclaroff, S., Athitsos, V.: Fast, reliable head tracking under varying illumination: An approach based on registration of texture-mapped 3D models. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 322–336 (2000)
Ahlberg, J.: An active model for facial feature tracking. EURASIP Journal on Applied Signal Processing 2002, 566–571 (2002)
Matthews, I., Baker, S.: Active appearance models revisited. International Journal of Computer Vision 60, 135–164 (2004)
Malassiotis, S., Strintzis, M.G.: Robust real-time 3D head pose estimation from range data. Pattern Recognition 38, 1153–1165 (2005)
Besl, P., McKay, N.: A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 14, 239–256 (1992)
Ahlberg, J.: CANDIDE-3 - an updated parametrized face. Technical Report LiTH-ISY-R-2326, Department of Electrical Engineering, Linköping University, Sweden (2001)
Xiao, J., Baker, S., Matthews, I., Kanade, T.: Real-time combined 2D+3D active appearance models. In: IEEE Int. Conference on Computer Vision and Pattern Recognition (2004)
Jepson, A., Fleet, D., El-Maraghi, T.: Robust online appearance models for visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 25, 1296–1311 (2003)
Dornaika, F., Davoine, F.: On appearance based face and facial action tracking. IEEE Transactions on Circuits and Systems for Video Technology (in press)
Cootes, T., Edwards, G., Taylor, C.: Active appearance models. IEEE Transactions on Pattern Analysis and Machine Intelligence 23, 681–684 (2001)
Dornaika, F., Sappa, A.: Appearance-based tracker: An evaluation study. In: IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (2005)
Chetverikov, D., Stepanov, D., Kresk, P.: Robust Euclidean alignment of 3D point sets: the trimmed iterative closet point algorithm. Image and Vision Computing 23, 299–309 (2005)
Fitzgibbon, A.: Robust registration of 2D and 3D point sets. Image and Vision Computing 21, 1145–1153 (2003)
Fischler, M., Bolles, R.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communication ACM 24, 381–395 (1981)
Rousseeuw, P., Leroy, A.: Robust Regression and Outlier Detection. John Wiley & Sons, New York (1987)
Horn, B.: Closed-form solution of absolute orientation using unit quaternions. J. Opt. Soc. Amer. A. 4, 629–642 (1987)
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© 2006 Springer-Verlag Berlin Heidelberg
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Dornaika, F., Sappa, A.D. (2006). Rigid and Non-rigid Face Motion Tracking by Aligning Texture Maps and Stereo-Based 3D Models. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_62
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DOI: https://doi.org/10.1007/11864349_62
Publisher Name: Springer, Berlin, Heidelberg
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