Megastereo: Constructing High-Resolution Stereo Panoramas


We present a solution for generating high-quality stereo panoramas at megapixel resolutions.

June 25, 2013
IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2013



Christian Richardt (Disney Research/Inria Sophia Antipolis)

Yael Pritch (Disney Research)

Henning Zimmer (Disney Research/ETH Zurich)

Alexander Sorkine-Hornung (Disney Research)

Megastereo: Constructing High-Resolution Stereo Panoramas


While previous approaches introduced the basic principles, we show that those techniques do not generalize well to today’s high image resolutions and lead to disturbing visual artifacts. As out first contribution, we describe the necessary correction steps and a compact representation for the input images in order to achieve a highly accurate approximation to the required ray space. Our second contribution is a flow-based upsampling of the available input rays which effectively resolves known aliasing issues like stitching artifacts. The required rays are generated on the fly to perfectly match the desired output resolution, even for small numbers of input images. In addition, the upsampling is real-time and enables direct interactive control over the desired stereoscopic depth effect. In combination, our contributions allow the generation of stereoscopic panoramas at high output resolution that are virtually free of artifacts such as seams, stereo discontinuities, vertical parallax and other mono-/stereoscopic shape distortions. Our process is robust, and other types of multi-perspective panoramas, such as linear panoramas, can also benefit from our contributions. We show various comparisons and high-resolution results.

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