Abstract
Facial landmarks of a 3D face model, such as nose-tip, inner-eyes, and mouth-corners, play an important role in many applications of 3D face models. This paper presents an effective approach to automatically detect landmarks of a 3D face. A novel discriminative surface descriptor, named HoSNI(Histogram of Shape Normal Information), is presented to characterize the local shape around a point on the facial surface. The HoSNI is applied to localize facial landmarks. The experiments are carried out to detect 19 facial landmarks on FRGC v2.0. The results demonstrate that our approach has high accuracy and is insensitive to expression variation.
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Bowyer, K., Chang, K., Flynn, P.: A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition. CVIU 101(1), 1–15 (2006)
Pan, G., Han, S., Wu, Z., Wang, Y.: 3D face recognition using mapped depth images. In: CVPR Workshops on FRGC (2005)
Pan, G., Wu, Z., Pan, Y.: Automatic 3D face verification from range data. In: ICASSP (2003)
Pan, G., Han, S., Wu, Z., Zhang, Y.: Removal of 3D facial expressions: A learning-based approach. In: CVPR (2010)
Pan, G., Han, S., Wu, Z.: Hallucinating 3D facial shapes. In: CVPR (2008)
Lee, Y., Park, K., Shim, J., Yi, T.: 3D face recognition using statistical multiple features for the local depth information. In: Int’l Conf. on Vision Interface (2003)
Hesher, C., Srivastava, A., Erlebacher, G.: A novel technique for face recognition using range imaging. In: ISSPA (2003)
Beumier, C., Acheroy, M.: Automatic 3D face authentication. Image and Vision Computing 18(4), 315–321 (2000)
Wu, Y., Pan, G., Wu, Z.: Face Authentication Based on Multiple Profiles Extracted from Range Data. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 515–522. Springer, Heidelberg (2003)
Wang, Y., Tang, X., Liu, J., Pan, G., **ao, R.: 3D Face Recognition by Local Shape Difference Boosting. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 603–616. Springer, Heidelberg (2008)
Faltemier, T.C., Bowyer, K.W., Flynn, P.J.: Rotated profile signatures for robust 3D feature Detection. In: FGR (2008)
Gordon, G.: Face recognition based on depth maps and surface curvature. In: SPIE Proceedings (1991)
Colbry, D., Stockman, G., Jain, A.: Detection of anchor points for 3D face verification. In: CVPR (2005)
Moreno, A., Sanchez, A., Vélez, J., DÃaz, F.: Face recognition using 3D surface-extracted descriptors. In: Irish Machine Vision and Image Processing (2003)
Nair, P., Cavallaro, A.: Region segmentation and feature point extraction on 3D faces using a point distribution model. In: ICIP (2007)
Akagunduz, E., Ulusoy, I.: 3D object representation using transform and scale invariant 3D features. In: ICCV (2007)
Chang, K., Bowyer, K., Flynn, P.: Multiple nose region matching for 3D face recognition under varying facial expression. PAMI 28(10), 1695–1700 (2006)
Wang, Y., Chua, C., Ho, Y.: Facial feature detection and face recognition from 2D and 3D images. Pattern Recognition Letters 23(10), 1191–1202 (2002)
Xu, C., Tan, T., Wang, Y., Quan, L.: Combining local features for robust nose location in 3D facial data. Pattern Recognition Letters 27(13), 1487–1494 (2006)
Breitenstein, M., Kuettel, D., Weise, T., Van Gool, L., Pfister, H.: Real-time face pose estimation from single range images. In: CVPR (2008)
Fanelli, G., Gall, J., Van Gool, L.: Real time head pose estimation with random regression forests. In: CVPR (2011)
Boehnen, C., Russ, T.: A fast multi-modal approach to facial feature detection. In: WACV (2005)
Phillips, P., Flynn, P., Scruggs, T., Bowyer, K., Chang, J., Hoffman, K., et al.: Overview of the face recognition grand challenge. In: CVPR (2005)
Horn, B.: Extended gaussian images. Proceedings of the IEEE 72(12), 1671–1686 (1984)
Chua, C., Han, F., Ho, Y.: 3D human face recognition using point signature. In: FGR (2000)
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Zhang, X., Wang, Y., Pan, G. (2013). 3D Facial Landmark Localization via a Local Surface Descriptor HoSNI . In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_39
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DOI: https://doi.org/10.1007/978-3-642-36669-7_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36668-0
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