Depth of field simulation for still digital images using a 3D camera - Profundidad de simulación de campo para imágenes fijas digitales utilizando una cámara 3D

Authors

  • Omar Alejandro Rodríguez Rosas Asistente de Investigación en Universidad de Guadalajara, Guadalajara, Mexico

DOI:

https://doi.org/10.32870/recibe.v3i3.32

Keywords:

bokeh, depth of field, simulation

Abstract

In a world where digital photography is almost ubiquitous, the size of image capturing devices and their lenses limit their capabilities to achieve shallower depths of field for aesthetic purposes. This work proposes a novel approach to simulate this effect using the color and depth images from a 3D camera. Comparative tests yielded results similar to those of a regular lens.Resumen: En un mundo donde la fotografía digital es casi omnipresente, el tamaño de los dispositivos de captura de imagen y sus lentes limitan sus capacidades para alcanzar profundidades menores de campo para fines estéticos. Este trabajo propone un enfoque novedoso para simular este efecto usando el color e imágenes profundas de una cámara 3D. Las pruebas comparativas dieron resultados similares a los de una lente regular.Palabras clave: bokeh; profundidad de campo; simulación.

Author Biography

Omar Alejandro Rodríguez Rosas, Asistente de Investigación en Universidad de Guadalajara, Guadalajara, Mexico

Omar Alejandro Rodríguez Rosas He obtained his Bachelor´s degree in Computer Science Engineering from the University of Guadalajara. He worked for two years at Intel as an Intern for the Visual and Parallel-Computing Group. He is currently a member of the multidisciplinary art collective Proyecto Caos and collaborates as a research assistant for the Intelligent Systems laboratory at the University of Guadalajara’s University Center for Exact Sciences and Engineering.

References

Alkouh, H. B. (2002). U.S. Patent No. 7081892.

Buhler, J., & Dan, W. (2002). A Phenomenological Model for Bokeh Rendering. ACM SIGGRAPH 2002 conference abstracts and applications (p. 142). New York, NY, USA: ACM.

Hernández, C. (2014, April 16). Lens Blur in the new Google Camera app. Retrieved from Google reasearch blog: http://googleresearch.blogspot.mx/2014/04/lens-blur-in-new-google-camera-app.html

Ng, R. (2006). Digital light field photography. (Doctoral Dissertation). Stanford University.

Rigger, G., Tatarchuk, N., & Isidoro, J. (2003). ShaderX2 – Shader Programming Tips and Tricks with DirectX 9. Wordware.

Tibken, S. (2013, November 29). Wave fingers, make faces: The future of computing at Intel. Retrieved from Cnet news: http://www.cnet.com/news/wave-fingers-make-faces-the-future-of-computing-at-intel/

Wu, J., Zheng, C., Hu, X., Wang, Y., & Zhang, L. (2010, June 1). Realistic rendering of bokeh effect based on optical aberrations. The Visual Computer, 26(6-8), 555-563.

Z, E. (2014, April 14). tempo.co. Retrieved from http://en.tempo.co/read/news/2014/04/18/240571603/Google-Releases-Android-Camera-App

Downloads

Published

2017-12-05

How to Cite

Rodríguez Rosas, O. A. (2017). Depth of field simulation for still digital images using a 3D camera - Profundidad de simulación de campo para imágenes fijas digitales utilizando una cámara 3D. ReCIBE, Electronic Journal of Computing, Informatics, Biomedical and Electronics, 3(3), II. https://doi.org/10.32870/recibe.v3i3.32

Issue

Section

Computer Science & IT