Skip to main content
SpringerLink
Log in

Facial Analysis for the Prediction of Beauty Preferences

  • Conference paper
  • First Online:
Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017 (PAAMS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 619))

  • 1296 Accesses

Abstract

Beauty is a factor which is really difficult to measure or evaluate objectively, since every person can have their own preferences. However, it is common for beauty patterns to tend to be similar in communities, mainly because of different cultural factors. The present study proposes the creation of a prediction system capable of determining the level of beauty from face images in different communities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bajo, J., Corchado, J.M., De Paz, Y., De Paz, J.F., Rodríguez, S., Martín, Q., Abraham, A.: SHOMAS: intelligent guidance and suggestions in shopping centres. Appl. Soft Comput. 9(2), 851–862 (2009)

    Google Scholar 

  2. De Paz, J.F., Rodríguez, S., Bajo, J., Corchado, J.M.: Case-based reasoning as a decision support system for cancer diagnosis: a case study. Int. J. Hybrid Intell. Syst. 6(2), 97–110 (2009)

    Article  Google Scholar 

  3. Corchado, J.M., Glez-Bedia, M., De Paz, Y., Bajo, J., De Paz, J.F.: Replanning mechanism for deliberative agents in dynamic changing environments. Comput. Intell. 24(2), 77–107 (2008)

    Article  MathSciNet  Google Scholar 

  4. Corchado, J.M., Lees, B.: Adaptation of cases for case based forecasting with neural network support. In: Soft Computing in Case Based Reasoning, pp. 293–319 (2001)

    Google Scholar 

  5. Rodríguez, J.M.C.: Redes Neuronales Artificiales: un enfoque práctico (2000)

    Google Scholar 

  6. Zato, C., Villarrubia, G., Sánchez, A., Barri, I., Rubión, E., Fernández, A., Rebate, C., Cabo, J.A., Álamos, T., Sanz, J., Seco, J., Bajo, J., Corchado, J.M.: PANGEA-Platform for Automatic coNstruction of orGanizations of intElligent Agents. In: Distributed Computing and Artificial Intelligence, pp. 229–239 (2012)

    Google Scholar 

  7. Corchado, J.M., Aiken, J.: Hybrid artificial intelligence methods in oceanographic forecast models. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 32(4), 307–313 (2002)

    Article  Google Scholar 

  8. Rodríguez, S., Pérez-Lancho, B., De Paz, J.F., Bajo, J., Corchado, J.M.: Ovamah: multiagent-based adaptive virtual organizations. In: 12th International Conference on Information Fusion, FUSION 2009, pp. 990–997 (2009)

    Google Scholar 

  9. Fyfe, C., Corchado, J.M.: Automating the construction of CBR Systems using Kernel Methods. Int. J. Intell. Syst. 16(4), 571–586 (2001)

    Article  MATH  Google Scholar 

  10. Baruque, B., Corchado, E., Mata, A., Corchado, J.M.: A forecasting solution to the oil spill problem based on a hybrid intelligent system. Inf. Sci. 180(10), 2029–2043 (2010)

    Article  Google Scholar 

  11. Bajo, J., Julián, V., Corchado, J.M., Carrascosa, C., de Paz, Y., Botti, V., de Paz, J.F.: An execution time planner for the ARTIS agent architecture. Eng. Appl. Artif. Intell. 21(5), 769–784 (2008)

    Article  Google Scholar 

  12. Tapia, D.I., De Paz, J.F., Rodríguez, S., Bajo, J., Corchado, J.M.: Multi-agent system for security control on industrial environments. Int. Trans. Syst. Sci. Appl. J. 4(3), 222–226 (2008)

    Google Scholar 

  13. Corchado, J.M., Corchado, E.S., Aiken, J., Fyfe, C., Fernandez, F., Gonzalez, M.: Maximum likelihood Hebbian learning based retrieval method for CBR Systems. In: International Conference on Case-Based Reasoning, pp. 107–121 (2003)

    Google Scholar 

  14. Alonso, R.S., Tapia, D.I., Bajo, J., García, Ó., de Paz, Corchado, J.M.: Implementing a hardware-embedded reactive agents platform based on a service-oriented architecture over heterogeneous wireless sensor Networks. Ad Hoc Networks 11(1), 151–166 (2013)

    Google Scholar 

  15. Bajo, J., Borrajo, M.L., De Paz, J.F., Corchado, J.M., Pellicer, M.A.: A multi-agent system for web-based risk management in small and medium business. Expert Syst. Appl. 39(8), 6921–6931 (2012)

    Article  Google Scholar 

  16. Rodriguez, S., Julián, V., Bajo, J., Carrascosa, C., Botti, V., Corchado, J.M.: Agent-based virtual organization architecture. Eng. Appl. Artif. Intell. 24(5), 895–910 (2011)

    Article  Google Scholar 

  17. Bajo, J., De Paz, J.F., Rodríguez, S., González, A.: Multi-agent system to monitor oceanic environments. Integr. Comput. Aided Eng. 17(2), 131–144 (2010)

    Google Scholar 

  18. Pinzon, C.I., De Paz, J.F., Herrero, A., Corchado, E., Bajo, J., Corchado, J.M.: idMAS-SQL: intrusion detection based on MAS to detect and block SQL injection through data mining. Inf. Sci. 231, 15–31 (2013)

    Article  Google Scholar 

  19. Corchado, J.M., Bajo, J., De Paz, J.F., Rodríguez, S.: An execution time neural-CBR guidance assistant. Neurocomputing 72(13), 2743–2753 (2009)

    Article  Google Scholar 

  20. Chamoso, P., Raveane, W., Parra, V., González, A.: UAVs applied to the counting and monitoring of animals. In: Ambient Intelligence-Software and Applications, pp. 71–80. Springer International Publishing (2014)

    Google Scholar 

  21. Briones, A.G., Rodríguez, J.M.C., de Paz Santana, J.F. Sistema de predicción de edad en rostros. Avances en Informática y Automática, p. 125

    Google Scholar 

  22. Borrajo, M.L., Corchado, J.M., Corchado, E.S., Pellicer, M.A., Bajo, J.: Multi-agent neural business control system. Inf. Sci. 180(6), 911–927 (2010)

    Article  MathSciNet  Google Scholar 

  23. Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.J.: The FERET database and evaluation procedure for face-recognition algorithms. Image Vis. Comput. 16(5), 295–306 (1998)

    Article  Google Scholar 

  24. De Paz, J.F., Rodríguez, S., Bajo, J., Corchado, J.M.: Mathematical model for dynamic case-based planning. Int. J. Comput. Math. 86(10–11), 1719–1730 (2009)

    Article  MATH  Google Scholar 

  25. De Paz, J.F., Tapia, D.I., Alonso, R.S., Pinzón, C.I., Bajo, J., Corchado, J.M.: Mitigation of the ground reflection effect in real-time locating systems based on wireless sensor networks by using artificial neural Networks. Knowl. Inform. Syst. 1–25 (2013)

    Google Scholar 

  26. De Paz, J.F., Bajo, J., López, V.F., Corchado, J.M.: Biomedic Organizations: An intelligent dynamic architecture for KDD. Inf. Sci. 224, 49–61 (2013)

    Article  MathSciNet  Google Scholar 

  27. De Paz, J.F., Bajo, J., González, A., Rodríguez, S., Corchado, J.M.: Combining case-based reasoning systems and support vector regression to evaluate the atmosphere-ocean interaction. Knowl. Inf. Syst. 30(1), 155–177 (2012)

    Article  Google Scholar 

  28. Pinzón, C., De Paz, J.F., Bajo, J., Herrero, Á., Corchado, E.: AIIDA-Sql: an adaptive intelligent intrusion detector agent for detecting sql injection attacks. In: 2010 10th International Conference on Hybrid Intelligent Systems (HIS), pp. 73–78 (2010)

    Google Scholar 

  29. Rodríguez, S., De Paz, J.F., Villarrubia, G., Zato, C., Bajo, J., Corchado, J.M.: Multi-agent information fusion system to manage data from a WSN in a residential home. Inform. Fusion 23, 43–57 (2015)

    Article  Google Scholar 

  30. Villarrubia, G., Bajo, J., De Paz, J.F., Corchado, J.M.: Monitoring and detection platform to prevent anomalous situations in home care. Sensors 14(6), 9900–9921 (2014)

    Article  Google Scholar 

  31. Zato, C., De Paz, J.F., de Luis, A., Bajo, J., Corchado, J.M.: Model for assigning roles automatically in egovernment virtual organizations. Expert Syst. Appl. 39(12), 10389–10401 (2012)

    Article  Google Scholar 

  32. Fraile, J.A., De Paz, Y., Bajo, J., De Paz, J.F., Pérez-Lancho, B.: Context-aware multiagent system: Planning home care tasks. Knowl. Inf. Syst. 40(1), 171–203 (2014)

    Google Scholar 

  33. Heras, S., De la Prieta, F., Julian, V., Rodríguez, S., Botti, V., Bajo, J., Corchado, J.M.: Agreement technologies and their use in cloud computing environments. Prog. Artif. Intell. 1(4), 277–290 (2012)

    Article  Google Scholar 

  34. De la Prieta, F., Rodríguez, S., Bajo, J., Corchado, J.M.: A multiagent system for resource distribution into a Cloud Computing environment. In: International Conference on Practical Applications of Agents and Multi-Agent Systems, pp. 37–48 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Osaka Institute of Technology, 5 Chome-16-1 Omiya, Asahi Ward, Osaka, Osaka Prefecture, 535-8585, Japan

    Minako Akiyama

Authors
  1. Minako Akiyama
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Minako Akiyama .

Editor information

Editors and Affiliations

  1. Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Salamanca, Spain

    Fernando De la Prieta

  2. GECAD Instituto Superior de Engenharia do Porto, Porto, Portugal

    Zita Vale

  3. Department of Informática, Universidade de Lisboa Faculdade de Ciências, Lisboa, Portugal

    Luis Antunes

  4. Facultad de Ciencias, Departamento de Informática y Automática, Salamanca, Spain

    Tiago Pinto

  5. School of Computer Science, Dartmouth College, Hanover, New Hampshire, USA

    Andrew T. Campbell

  6. Departamento de Sistemas Informáticos y Computación, Universidad Politecnica de Valencia, Valencia, Spain

    Vicente Julián

  7. University of Aveiro, Institute of Electronics and Telematics Engineering, Aveiro, Portugal

    Antonio J.R. Neves

  8. Departamento de Informática y Automática, Facultad de Ciencias, University of Salamanca, Salamanca, Salamanca, Spain

    María N. Moreno

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Akiyama, M. (2018). Facial Analysis for the Prediction of Beauty Preferences. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_52

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-61578-3_52

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61577-6

  • Online ISBN: 978-3-319-61578-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation