#360 grad panorama video software#
This post goes into some depth on the rendering software we created to solve this problem, covering the goals we set, the challenges we took on, and the decisions we made in developing this technology. This software vastly reduces the typical 3D-360 processing time while maintaining the 8K-per-eye quality we think is optimal for the best VR viewing experience. Our stitching software takes the images captured by the 17 cameras in Surround 360 and transforms them into a stereoscopic 360 panorama suitable for viewing in VR. Even though we use high-quality optics and machine-fabricated rigs, there is still enough variation between camera lenses that without software corrections, results are not viewable in stereo (you see double vision and not 3D). We've previously written about the hardware design of the camera and its importance in decreasing the processing time for the footage. Anyone will be able to contribute to, build on top of, improve, or distribute the camera based on these specs.īoth the hardware design and software play a role in achieving a high-quality output.
We believe making the camera design and stitching code freely available on GitHub will accelerate the growth of the 3D-360 ecosystem - developers will be able to leverage the code, and content creators can use the camera in their productions. The open source project includes the hardware camera design and software stitching code that makes end-to-end 3D-360 video capture possible in one system - from shooting to video processing. Today we officially open-sourced the specs for Surround 360, our high-quality 3D-360 hardware and software video capture system.
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