Abstract
In this paper, we describe a method named visibility-aware part model for facial point detection in static images based on the pictorial structure model. A binary part visibility term is introduced to describe the occlusion state of each part, which can determine which facial points are occluded. The introduction of the term enhances the representation power of the model especially for the occlusions. The combining of the structure constrains and the powerful appearance model makes the model more robust and reduces the possibility of model crashing in some extent. Experimental results show that our proposed model can detect facial feature points accurately and robustly under occlusions.
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References
Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3, 71–86 (1991)
Wiskott, L., Fellous, J.M., Kuiger, N., von der Malsburg, C.: Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 19, 775–779 (1997)
Penev, P.S., Atick, J.J.: Local feature analysis: a general statistical theory for object representation. Network: Computation in Neural Systems 7, 477–500 (1996)
Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active Shape Models-Their Training and Application. Computer Vision and Image Understanding 61, 38–59 (1995)
Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. IEEE Transactions on Pattern Analysis and Machine Intelligence 23, 681–685 (2001)
Blanz, V., Vetter, T.: Face recognition based on fitting a 3D morphable model. IEEE Transactions on Pattern Analysis and Machine Intelligence 25, 1063–1074 (2003)
Milborrow, S., Nicolls, F.: Locating facial features with an extended active shape model. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part IV. LNCS, vol. 5305, pp. 504–513. Springer, Heidelberg (2008)
Cristinacce, D., Cootes, T.: Feature detection and tracking with constrained local models. In: Proc. British Machine Vision Conference, pp. 929–938 (2006)
Chen, L., Zhang, L., Zhang, H., Abdel-Mottaleb, M.: 3D shape constraint for facial feature localization using probabilistic-like output. In: Sixth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 302–307 (2004)
Huang, G.B., Mattar, M., Berg, T., Learned-Miller, E.: Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments. In: Workshop on Faces in ‘Real-Life’Images: Detection, Alignment, and Recognition (2008)
Fischler, M.A., Elschlager, R.A.: The representation and matching of pictorial structures. IEEE Transactions on Computers 100, 67–92 (1973)
Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part-based models. IEEE Transactions on Pattern Analysis and Machine Intelligence 32, 1627–1645 (2010)
Felzenszwalb, P.F., Huttenlocher, D.P.: Pictorial structures for object recognition. International Journal of Computer Vision 61, 55–79 (2005)
Yang, Y., Ramanan, D.: Articulated pose estimation with flexible mixtures-of-parts. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1385–1392 (2011)
Felzenszwalb, P.F., Girshick, R.B., McAllester, D.: Cascade object detection with deformable part models. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2241–2248 (2010)
Jesorsky, O., Kirchberg, K.J., Frischholz, R.W.: Robust face detection using the hausdorff distance. In: Audio-and Video-Based Biometric Person Authentication, pp. 90–95 (2001)
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Li, Y., Liu, Y., Zhou, X. (2013). Facial Point Detection with Occlusion Insensitive Visibility-Aware Part Model. In: Huet, B., Ngo, CW., Tang, J., Zhou, ZH., Hauptmann, A.G., Yan, S. (eds) Advances in Multimedia Information Processing – PCM 2013. PCM 2013. Lecture Notes in Computer Science, vol 8294. Springer, Cham. https://doi.org/10.1007/978-3-319-03731-8_3
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DOI: https://doi.org/10.1007/978-3-319-03731-8_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03730-1
Online ISBN: 978-3-319-03731-8
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