Importance ordering for real-time depth of field

  • Paul Fearing
Session CG2b — Simulation & Animation
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1024)


Depth of field (DOF) is an important component of real photography. As such, it is a valuable addition to the library of techniques used in photorealistic rendering. Several methods have been proposed for implementing DOF effects. Unfortunately, all existing methods require a great deal of computation. This prohibitive cost has precluded DOF effects from being used with any great regularity. This paper introduces a new way of computing DOF that is particularly effective for sequences of related frames (animations). It computes the most noticeable DOF effects first, and works on areas of lesser importance only if there is enough time. Areas that do not change between frames are not computed. At any point, the computation can be interrupted and the results displayed. Varying the interruption point allows a smooth trade-off between image accuracy and result speed. If enough time is provided, the algorithm generates the exact solution. Practically, this algorithm avoids the continual recomputing of large numbers of unchanging pixels. This can provide order-of-magnitude speedups in many common animation situations. This increase in speed brings DOF effects into the realm of real-time graphics.


Camera Model Importance Function Related Frame World Space Soft Shadow 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Paul Fearing
    • 1
  1. 1.Department of Computer ScienceUniversity of British ColumbiaVancouverCanada

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