Stereo vision is becoming increasingly popular in feature films, visualization and interactive applications such as computer games. However, computation costs are doubled when rendering an individual image for each eye. In this work, we propose to only render a single image, together with a depth buffer and use image-based techniques to generate two individual images for the left and right eye. The resulting method computes a high-quality stereo pair for roughly half the cost of the traditional methods. We achieve this result via an adaptive-grid warping that also involves information from previous frames to avoid artifacts.

    
  @inproceedings{DidykERMS2010,
          author = { Piotr Didyk and
                     Tobias Ritschel and
                     Elmar Eisemann and
                     Karol Myszkowski and
                     Hans-Peter Seidel
                   },
          title = {Adaptive Image-space Stereo View Synthesis},
          booktitle = {Vision, Modeling and Visualization Workshop},
          pages = {299--306},
          address = {Siegen, Germany},
          year = {2010}
  }

We thank Kenny Mitchell from Black Rock Studios for a discussion and helpful comments.

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