Abstract
3D face clones can be used as pretreatments in many applications, such as emotion analysis. However, such clones should model facial shape accurately, while keeping the attributes of individuals; and they should be semantic. A clone is semantics when we know the position of the different parts of the face (eyes, nose...). The main problem of texture reconstruction methods is the seam appearance on fusion texture data. In our technique, we use a low cost RGB-D sensor to get an accurate and detailed facial unfolded texture. We use shape and texture patches to preserve the person’s characteristics. They are detected using an error distance and the direction of the normal vectors computed from the depth frames. The tests we perform show the robustness and the accuracy of our method.
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References
Funes Mora, K.A., Odobez, J.M.: Gaze estimation from multimodal kinect data. In: IEEE Conference in Computer Vision and Pattern Recognition, Workshop on Gesture Recognition (2012)
Paysan, P., Knothe, R., Amberg, B., Romdhani, S., Vetter, T.: A 3d face model for pose and illumination invariant face recognition. In: Tubaro, S., Dugelay, J.L. (eds.) AVSS, pp. 296–301. IEEE Computer Society (2009)
Zollhofer, M., Thies, J., Colaianni, M., Stamminger, M., Greiner, G.: Interactive model-based reconstruction of the human head using an RGB-D sensor. Comput. Animat. Virtual Worlds 25, 213–222 (2014)
Blanz, V., Vetter, T.: Face recognition based on fitting a 3d morphable model. IEEE Trans. Pattern Anal. Mach. Intell. 25, 1063–1074 (2003)
He, X., Yuk, S., Chow, K., Wong, K., Chung, R.: Super-resolution of faces using texture mapping on a generic 3d model. In: Fifth International Conference on Image and Graphics, ICIG 2009, pp. 361–365 (2009)
Zhang, J., Luo, S.: Image-based texture mapping method in 3d face modeling. In: IEEE/ICME International Conference on Complex Medical Engineering, CME 2007, pp. 147–150 (2007)
Hwang, J., Yu, S., Kim, J., Lee, S.: 3D face modeling using the multi-deformable method. Sens. 12, 12870–12889 (2012)
Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. In: Burkhardt, H., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1407, pp. 484–498. Springer, Heidelberg (1998)
Hernandez, M., Choi, J., Medioni, G.: Laser scan quality 3-d face modeling using a low-cost depth camera. In: Proceedings of the 20th European Signal Processing Conference (EUSIPCO 2012), pp. 1995–1999 (2012)
Sun, Q., Tang, Y., Hu, P., Peng, J.: Kinect-based automatic 3d high-resolution face modeling. In: The 4th International Conference on Image Analysis and Signal Processing (IASP) (2012)
Lee, W.S., Magnenat-Thalmann, N.: Fast head modeling for animation. Image Vis. Comput. 18, 355–364 (2000)
Burt, P.J., Adelson, E.H.: A multiresolution spline with application to image mosaics. ACM Trans. Graph. 2, 217–236 (1983)
Beier, T., Neely, S.: Feature-based image metamorphosis. SIGGRAPH Comput. Graph. 26, 35–42 (1992)
Xu, L., Li, E., Li, J., Chen, Y., Zhang, Y.: A general texture mapping framework for image-based 3d modeling. In: 17th IEEE International Conference on Image Processing (ICIP 2010), pp. 2713–2716 (2010)
Lempitsky, V., Ivanov, D.: Seamless mosaicing of image-based texture maps. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2007, pp. 1–6 (2007)
Ge, Y., Yin, B., Sun, Y., Tang, H.: 3d face texture stitching based on Poisson equation. In: IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010), vol. 2, pp. 809–813 (2010)
Desssein, A., Smith, W.A.P., Wilson, R.C., Hancock, E.R.: Seamless texture stitching on a 3D mesh by Poisson blending in patches. In: 2014 IEEE International Conference on Image Processing (ICIP), pp. 2031–2035, 27–30 October 2014
Xiong, X., De la Torre, F.: Supervised descent method and its applications to face alignment. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2013)
Besl, P.J., McKay, N.D.: A method for registration of 3-d shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14, 239–256 (1992)
Douadi, L., Aldon, M., Crosnier, A.: Pair-wise registration of 3d/color data sets with ICP. In: 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006, 9–15 October 2006, Beijing, China, pp. 663–668 (2006)
Chen, Y., Medioni, G.: Object modelling by registration of multiple range images. Image Vis. Comput. 10, 145–155 (1992)
Newcombe, R.A., Izadi, S., Hilliges, O., Molyneaux, D., Kim, D., Davison, A.J., Kohli, P., Shotton, J., Hodges, S., Fitzgibbon, A.: KinectFusion: real-time dense surface mapping and tracking. In: Proceedings of the 2011 10th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2011, pp. 127–136. IEEE Computer Society, Washington, D.C. (2011)
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This research has been conducted with the support of Miles (FUI project) and Brittany Region (ARED).
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Manceau, J., Séguier, R., Soladié, C. (2015). Reconstruction of Face Texture Based on the Fusion of Texture Patches. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9474. Springer, Cham. https://doi.org/10.1007/978-3-319-27857-5_35
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DOI: https://doi.org/10.1007/978-3-319-27857-5_35
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