Abstract
In this paper, the similar characteristics of human face has been used to relax the numbers of the input into one single face image, and reconstruct the 3D shape based on a couple statistical model. Moreover the lighting conditions of the single input image can be different from that of the training database. The experiment results have demonstrated the effectiveness of the proposed method.
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Acknowledgments
This work was supported by National Natural Science Foundation of China (61601427, 61602229); Natural Science Foundation of Shandong Province (ZR2015 FQ011; ZR2014FQ023); China Postdoctoral Science Foundation funded project (20 16M590659); Qingdao Postdoctoral Science Foundation funded project (861605040 008) and Applied Basic Research Project of Qingdao (16-5-1-4-jch); The Fundamental Research Funds for the Central Universities (201511008, 30020084851); and Technology Cooperation Program of China (ISTCP) (2014DFA10410).
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Sun, Y., Jian, M., Dong, J. (2016). Human Face Reconstruction from a Single Input Image Based on a Coupled Statistical Model. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 682. Springer, Singapore. https://doi.org/10.1007/978-981-10-3614-9_45
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DOI: https://doi.org/10.1007/978-981-10-3614-9_45
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