Comments (2)
Thank you for your interest in ZInD!
We don't have official experiments on that, but this is certainly something you can try on your own, e.g. using off-the-shelf SfM pipelines like OpenMVG or OpenSfM that support sparse spherical cameras as an input. This will probably give you some sparse localization and point clouds for a subset of the scenes with enough capture density and a rich set of features to match. However, we expect this to fail quite often in the majority of the scenes that have wide baselines (between the cameras) within empty, featureless rooms.
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Thanks for your reply! It is clear now.
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Related Issues (8)
- When will the data be released? HOT 1
- Generate the zind_data.json file in the sample_tour folder
- Tool to Create/Render 3D Floorplans HOT 3
- Simple or complex partition HOT 3
- floor_plan_transformation is missing in data organization tree HOT 1
- Run the code HOT 1
- ERROR Could not download ZInD json, please check your credentials and internet connection HOT 5
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