Acta Optica Sinica, Volume. 40, Issue 4, 0410001(2020)
High Precision Three-Dimensional Face Reconstruction Algorithm Based on Gradient Light Image
Fig. 2. Results of reflected light separation. (a) Vertically polarized image; (b) parallel polarized image; (c) specular reflection image
Fig. 3. Gradient light images in different directions. (a) Along the X direction; (b) along the -X direction; (c) along the Y direction; (d) along the -Y direction; (e) along the Z direction; (f) all light
Fig. 5. Image acquisition device. (a) Shooting device; (b) relative position of the cameras
Fig. 7. Results of normal map fusion. (a) Diffuse reflection normal map; (b) specular reflection normal map; (c) fusion normal map
Fig. 8. Comparison of normal map reconstruction with different fusion modes. (a) Low precision model; (b) reconstruction with 2∶1 fusion ratio; (c) reconstruction with 5×5 high-pass filtering and 1∶1 fusion ratio; (d) reconstruction with 5×5 high-pass filtering and 2∶1 fusion ratio; (e) reconstruction with 7×7 high-pass filtering and 1∶1 fusion ratio; (f) reconstruction with 7×7 high-pass filtering and 2∶1 fusion ratio
Fig. 11. Comparison of the render of highprecision model and normal map model. (a) Model1; (b) model2; (c) model3; (d) rendering of model1; (e) rendering of model2; (f) rendering of model3
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Shuo Huang, Yong Hu, Cailan Gong, Hongyi Bo, Geng Gu, Qi Xu, Wei Wang. High Precision Three-Dimensional Face Reconstruction Algorithm Based on Gradient Light Image[J]. Acta Optica Sinica, 2020, 40(4): 0410001
Category: Image Processing
Received: Jul. 17, 2019
Accepted: Oct. 21, 2019
Published Online: Feb. 11, 2020
The Author Email: Hu Yong (shuo_huang_sitp@sina.com)