A Landmark-Based Data-Driven Approach on 2.5D Facial Attractiveness Computation

Journal article

Shu Liu, Fan Yangyu, Zhe Guo, Ashok Samal, Afan Ali
Neurocomputing, vol. 238, 2017, pp. 168--178

DOI: 10.1016/j.neucom.2017.01.038

Cite

APA Click to copy
Liu, S., Yangyu, F., Guo, Z., Samal, A., & Ali, A. (2017). A Landmark-Based Data-Driven Approach on 2.5D Facial Attractiveness Computation. Neurocomputing, 238, 168–178. https://doi.org/10.1016/j.neucom.2017.01.038

Chicago/Turabian Click to copy
Liu, Shu, Fan Yangyu, Zhe Guo, Ashok Samal, and Afan Ali. “A Landmark-Based Data-Driven Approach on 2.5D Facial Attractiveness Computation.” Neurocomputing 238 (2017): 168–178.

MLA Click to copy
Liu, Shu, et al. “A Landmark-Based Data-Driven Approach on 2.5D Facial Attractiveness Computation.” Neurocomputing, vol. 238, 2017, pp. 168–78, doi:10.1016/j.neucom.2017.01.038.

BibTeX Click to copy

@article{liu2017a,
  title = {A Landmark-Based Data-Driven Approach on 2.5D Facial Attractiveness Computation},
  year = {2017},
  journal = {Neurocomputing},
  pages = {168--178},
  volume = {238},
  doi = {10.1016/j.neucom.2017.01.038},
  author = {Liu, Shu and Yangyu, Fan and Guo, Zhe and Samal, Ashok and Ali, Afan}
}