NVlabs/BundleSDF
A neural network method for real-time 6-DoF object pose tracking and 3D reconstruction from RGBD video sequences.
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The system performs near real-time 6-DoF tracking of arbitrary rigid objects from monocular RGBD video while simultaneously building a neural 3D representation. It uses a Neural Object Field learned concurrently with pose graph optimization, with a dynamic memory pool to accumulate geometry and appearance into a consistent 3D model. The method handles challenging cases including partial and full occlusion, untextured surfaces, and large pose changes without requiring additional object information beyond an initial segmentation.
Frequently asked
- What is NVlabs/BundleSDF?
- A neural network method for real-time 6-DoF object pose tracking and 3D reconstruction from RGBD video sequences.
- Is BundleSDF open source?
- Yes — NVlabs/BundleSDF is an open-source project tracked on heatdrop.
- What language is BundleSDF written in?
- NVlabs/BundleSDF is primarily written in Python.
- How popular is BundleSDF?
- NVlabs/BundleSDF has 1.4k stars on GitHub.
- Where can I find BundleSDF?
- NVlabs/BundleSDF is on GitHub at https://github.com/NVlabs/BundleSDF.