[Submitted on 7 Oct 2026]
Title:A Camera-Native Stereo VR180 Dataset
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Abstract:Immersive VR180 video is increasingly produced with professional stereo fisheye cameras, yet public VR180 research resources are mostly collected from online platforms such as YouTube: already stitched, projected and compressed by unknown pipelines, and without lens calibration. We present a firsthand-captured stereo VR180 dataset recorded with two Blackmagic URSA Cine Immersive cameras. It contains 1,211 samples -- 636 stereo video clips (2,220.8 s, mostly 90 fps) and 575 stereo stills -- each released as camera-native Blackmagic RAW, separate-eye native fisheye HEVC (8160x7200 per eye) and half-equirectangular HEVC (7200x7200 per eye), together with the factory lens calibration, portable fisheye/half-equirectangular conversion tools and AI-generated scene and visual-challenge annotations. Re-encoding the released fisheye and half-equirectangular renders with x265 over 24 clips, both eyes, four rate points and nine viewing directions, native-fisheye coding needed more bitrate than half-equirectangular coding at equal viewport quality for all 24 clips (median +38%), in every part of the field of view. Data: this https URL ; code: this https URL
Comments: 6 pages, 5 figures, 6 tables. Dataset: this https URL
Subjects:
Computer Vision and Pattern Recognition (cs.CV); Multimedia (cs.MM)
ACM classes: H.5.1; I.4.2
Cite as: arXiv:2610.10607 [cs.CV]
(or arXiv:2610.10607v1 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2610.10607
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Linxuan Lu [view email] [v1] Wed, 7 Oct 2026 03:20:07 UTC (1,894 KB)
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