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基于压缩感知理论的3维人脸快速重建

DOI: 10.11834/jig.20140613

Keywords: 3维人脸重建,形变模型,压缩感知,径向基函数

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Abstract:

目的针对形变模型方法中模型构建的缺陷,提出一种基于压缩感知理论的快速3维人脸重建方法。方法首先,利用压缩感知理论估计3维原型人脸与目标人脸的形状相似性,根据相似性对原型样本进行筛选并构建相应的形变模型;然后,利用面部特征点信息进行稀疏模型匹配,并结合径向基函数插值重建生成特定的3维人脸。结果在BJUT3维数据库和CAS-PEAL2维数据库上的实验结果表明,该方法的重建精度和重建速度均优于经典方法,重建人脸具有较强真实感。结论该方法利用压缩感知理论快速筛选原型样本构建形变模型,有效地提高了建模精度和效率;结合RBF插值的重建策略进一步提高了重建表面的平滑度。

References

[1]  Stylianou G, Lanitis A. Image based 3d face reconstruction: a survey[J]. International Journal of Image and Graphics, 2009, 9(2): 217-250.[DOI: 10.1142/S0219467809003411]
[2]  Hu Y L, Yin B C, Gu C L, et al. 3D face reconstruction based on the improved morphable model[J]. Chinese Journal of Computers, 2005, 28(10):1671-1679. [胡永利, 尹宝才, 谷春亮,等. 基于形变模型的三维人脸重建方法及其改进[J]. 计算机学报, 2005, 28(10):1671-1679.]
[3]  Blanz V, Vetter T. Reconstructing the complete 3D shape of faces from partial information[J]. Informationstechnik und Technische Informatik, 2002, 44(6):295-302.[DOI: 10.1524/itit.2002.44.6.295]
[4]  Jiang D, Hu Y,Yan S, et al. Efficient 3D reconstruction for face recognition[J]. Pattern Recognition, 2005, 38(6):787-798.[DOI: 10.1016/j.patcog.2004.11.004]
[5]  Chai X J, Shan S G, Qing L Y, et al. Pose and illumination invariant face recognition based on 3D face reconstruction[J]. Journal of Software, 2006, 17(3):525-534. [柴秀娟, 山世光, 卿来云,等. 基于3D人脸重建的光照、姿态不变人脸识别[J].软件学报, 2006, 17(3):525-534.]
[6]  Liao H B, Chen Q H, Zhou Q J, et al. Rapid 3D face reconstruction by fusion of SFS and local morphable model[J]. Journal of Visual Communication and Image Representation, 2012, 23 (6): 924-931.[DOI: 10.1016/j.jvcir.2012.06.005]
[7]  Gong X, Wang G Y. A dynamic component deforming model for face shape reconstruction[C]//International Symposium on Visual Computing. Berlin: Springer, 2007, 4841: 488-497.
[8]  Gong X, Wang G Y. 3D face deformable model based on feature points[J]. Journal of Software, 2009, 20(3):724-733. [龚勋, 王国胤. 基于特征点的三维人脸形变模型[J]. 软件学报, 2009,20(3):724-733.]
[9]  Candes E, Wakin M. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine,2008, 25 (2):21-30.[DOI: 10.1109/msp.2007.914731]
[10]  Donoho D L, Tsaig Y. Fast solution of l1-norm minimization problems when the solution may be sparse[J]. IEEE Transactions on Information Theory, 2008, 54(11):4789-4812.[DOI: 10.1109/tit.2008.929958]
[11]  Wright J, Yang A Y, Ganesh A, et al. Robust face recognition via sparse representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(2):210-227.[DOI: 10.1109/TPAMI.2008.79]
[12]  Candes E, Tao T. Near-optimal signal recovery from random projections: universal encoding strategies?[J]. IEEE Transactions on Information Theory, 2006, 52(12):5406-5425.[DOI: 10.1109/TIT.2006.885507]
[13]  Pighin F, Hecker J, Lischinskiy D, et al. Synthesizing realistic facial expressions from photographs[C]//Proceedings of the 25th Annual Conference on Computer Graphics. Orlando: ACM Press, 1998: 75-84.
[14]  更多...
[15]  Multimedia and Intelligent Software Technology, Beijing Municipal Key Laboratory, Beijing University of Technology.The BJUT-3D Large-Scale Chinese Face Database; MISKL-TR-05-FMFR-001[R]. Beijing: Beijing University of Technology, 2005.
[16]  Gao W, Cao B, Shan S G, et al. The CAS-PEAL large-scale chinese face database and baseline evaluations[J]. IEEE Transactions on System Man, and Cybernetics, 2008, 38(1):149-161.[DOI: 10.1109/TSMCA.2007.909557]
[17]  Bowyer K W, Chang K, Flynn P J. A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition[J]. Computer Vision and Image Understanding, 2006, 101 (1):1-15.[DOI: 10.1016/j.cviu.2005.05.005]
[18]  Levine M D, Yu Y C, State-of-the-art of 3D facial reconstruction methods for face recognition based on a single 2D training image per person[J]. Pattern Recognition Letters, 2009, 30(10): 908-913.[DOI: 10.1016/j.patrec.2009.03.011]
[19]  Blanz V, Vetter T. A morphable model for the synthesis of 3D faces[C]//Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques. Bostan: Addison-Wesley Publishing Co., 1999:187-194.[DOI: 10.1145/311535.311556]
[20]  Blanz V, Vetter T. Face recognition based on fitting a 3D morphable model[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(9): 1063-1074. [DOI:10.1109/TPAMI.2003.1227983]
[21]  Romdhani S, Pierrard J S, Vetter T. 3D morphable face model, a unified aproach for analysis and synthesis of image[C]//Face Processing: Advanced Modeling and Methods. Amsterdam, Holland: Elsevier, 2005:1-25.
[22]  Wang C Z, Yin B C, Sun Y F, et al. An improved 3D face modeling method based on morphable model[J]. Acta Automatica Sinica, 2007,33(3):232-239.[王成章, 尹宝才, 孙艳丰,等. 改进的基于形变模型的三维人脸建模方法[J].自动化学报,2007,33(3):232-239.]
[23]  Romdhani S. Face image analysis using a multiple feature fitting strategy [D]. Brussel: University of Basel, 2005.

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