Advertisement

Study on Virtual Camera with Preset Shot Types Based on Composition Aesthetic Computing

  • Huaqing ShenEmail author
  • Ran Liu
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10092)

Abstract

Virtual Camera is an output window designed for three-dimensional graphics. This research on aesthetic computing of virtual camera is to improve artists’ working efficiency and to assist non-artists users’ aesthetic-related decision making in the use of the three-dimensional production software. In terms of photo composition, by setting the default value of controlled variables, automatically produced shot types can help the user to improve production efficiency greatly, as well as to simplify work flow. From the aesthetic point of view, aesthetic computing can provide users with more patterns for shot types selection.

Keywords

Aesthetic Computing Shot types Virtual camera Visual vector Animation  

References

  1. 1.
    Shallice, T., Amatid, D.: On the emergence of modern humans. Cognition 10(3), 358–385 (2007)Google Scholar
  2. 2.
    Yan, Y., Li, H.: Analysis of the differences between film composition and painting composition. J. Scenar. Lit. 6, 136–137 (2011)Google Scholar
  3. 3.
    Liu, L., Chen, R., Wolf, L., Cohen-Or, D.: Optimizing photo composition. Comput. Graph. Forum 29(2), 1–19 (2010)CrossRefGoogle Scholar
  4. 4.
    Gooch, B., Reinhard, E., Moulding, C., Shirley, P.: Artistic composition for image creation. In: Gortler, S.J., Myszkowski, K. (eds.) Rendering Techniques 2001, pp. 83–88. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  5. 5.
    He, J.: The human body proportion and the application of diagram in the sports action. Chin. School Sports 5, 69–70 (2003)Google Scholar
  6. 6.
    Liu, Y., Li, L., Bayard, C.: Summarize the method of face recognition. J. Inner Mongolia Univ. 40(4), 493–495 (2009)Google Scholar
  7. 7.
    Zhou, Z.: Introduction to monitoring camera noise reduction, vol. 18, pp. 173–174. China Public Security Publisher (2013)Google Scholar
  8. 8.
    Yi, J.: The research of computable image aesthetics classification and evaluation system. Dissertation of South China University of Technology, pp. 1–6 (2013)Google Scholar
  9. 9.
    Yao, P.: The law of aesthetics between lens focal length and view narrate in photography. New Viewpoint 10, 29–30 (2012)Google Scholar
  10. 10.
    Hao, F.: The simulated application of virtual camera in animation. J. Art Design, 144–146 (2010)Google Scholar
  11. 11.
    Zhang, L., Qin, S.: Analysis the meaning of visual cultural of the image transmission in contemporary. Movie Rev. 6, 94–95 (2012)Google Scholar
  12. 12.
    Chen, S., Pan, Z., Zhang, M., Shen, H.: A case study of user immersion-based systematic design for serious heritage games. Multimed. Tools Appl. 62(3), 633–658 (2013)CrossRefGoogle Scholar
  13. 13.
    Zhang, Q., Tong, J., Wang, H., Pan, Z., Yang, R.: Simulation guided hair dynamics modeling from video. Comput. Graph. Forum 31(7), 2003–2010 (2012)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Department of Arts, School of HumanitiesZhejiang UniversityHangzhouChina
  2. 2.The Fonder of Hangzhou Yimo Yibai Cultural and Art Co., Ltd.HangzhouChina

Personalised recommendations