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Nice work!But I have a question about this work. I noticed that you used COLMAP to do both sparse and dense reconstruction. May I ask if you are using sparse or dense point clouds as input for 3D Gaus…
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An important function of converting point clouds to a viable occupancy grid, is a line-drawing function.
Bresenham's line algorithm is a solid place to start.
This function should be implemented for…
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**Describe the feature you would like**
I load PLY meshes and point clouds very frequently. The meshes lack normals since they are implied.
CloudCompare won't show mesh normals unless I click mesh…
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When I use **SSD recon** with **Neumann** boundary condition on a **point cloud that is sparse near the floor**:
`--width 0.0035 --valueWeight 0.4 --gradientWeight 0.14 --biLapWeight 0.3 --bType 3 --…
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Implement depth estimation using the NYU Depth Dataset.
- Familiarize with and preprocess the NYU Depth Dataset for depth estimation.
- Research and implement a depth estimation technique suitable f…
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### Versions
* Python:
2.7.13
* OS:
Android
* Kivy:
1.10.0
* Kivy installation method:
```bash
USE_OSX_FRAMEWORKS=0 pip install -I --no-cache-dir --no-binary all kivy
```
### Desc…
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Hello, I've recently got my d435i to work well with OpenVins and the Odom path is reasonably good.
I would like to start building a map and perform loop-closures and am wondering if you have any su…
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Hello~ thanks for sharing your great work!
I'm wondering if there is any benchmark test for scene understanding task on dataset like ScanQA, which was done by 3D-LLM.
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ICP is inherently a point-to-point registration method. Therefore, by logical extension, it should have a `fit_pts_func`! Currently it does not, meaning point-to-raster co-registration does not work.
…