Point cloud Editor

(Tutorial)

The Free Point cloud Editor allows you to edit, crop and export any Point cloud files with a userfriendly Interface. This makes it possible to remove Points and clean the point cloud before processing the Point cloud in Colmap, Gaussian Splatting, Nerfs etc. optimizing the point cloud and archive better results and 3D reconstructions. Your can also translate and rotate Colmap Pointclouds and export the adjusted images.txt and points3D.txt.

This opensource Editor is compatible with the [.txt] Data exported from Colmap reconstructions and runs in the browser.

Point cloud editor - Panoton

Import

Remove Points

Toggle Eraser
50

Translate

Rotate

Export

Console

Processing Data... This might take a few seconds depending on the file size

Processing Points3D

Processing Images

Need Help?

FAQ

What's the correct Input Point cloud file format?

The imported point cloud file must be in [.txt] format. Make sure to only import the point cloud file (mostly named: points3D.txt) instead of the camera or images file. This file has the following format, when opening it in any text editor:

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  • # 3D point list with one line of data per point:
  • # POINT3D_ID, X, Y, Z, R, G, B, ERROR, TRACK[] as (IMAGE_ID, POINT2D_IDX)
  • # Number of points: 105304, mean track length: 6.5531545003348528
  • 1 -2.6375808715820312 -3.159113645553589 5.8599467277526855 171 162 157 0.7627250660295559 19 56 747 4076 746 4081
  • 70489 -4.174145698547363 -0.19272787868976593 3.1809439659118652 149 150 152 0.342557520656781 70 5979 1071 4075 1072 ...
How to archieve a Point cloud file in [.txt] format?

You can use for example Colmap to calculate a Point cloud file. If this is in [.bin] format, convert it to [.txt] format by using Colmap >> Export to txt

How to edit the Point cloud in Panoton Point cloud Editor?

Editing a point cloud in the Panoton Point cloud Editor involves several key features designed to make the process intuitive and efficient. Here’s how you can get started and make the most of the tool:
1. Upload Your Point cloud: Begin by uploading your point cloud file using the 'Upload Point cloud File' button. Supported formats include .txt files that are formatted for 3D coordinates.
2. Adjust Viewing Parameters: Use the navigation tools to rotate, zoom, and pan across your point cloud. This will help you view the point cloud from various angles and inspect details closely.
3. Set the Crop Radius: If you need to focus on a specific area, adjust the 'Crop Radius' slider. This allows you to hide points that are outside a certain radius from the center, focusing on a more specific segment of your point cloud.
4. Toggle Erase Mode: Activate the 'Erase Mode' by switching the toggle next to 'Toggle Eraser'. In this mode, you can click or drag over points to erase them. This is useful for cleaning up noise or removing unwanted points from your dataset.
5. Download Your Edited Point cloud: Once you are satisfied with your edits, you can download the modified point cloud by clicking the 'Download Points' button. This will save your changes to a new file, preserving the original data.
For more detailed instructions and additional features, refer to the Tutorial in the 'Help' section or contact us (info@panoton.de) for further assistance.

Use Cases for the Point cloud Editor

The Panoton Point cloud Editor is designed to enhance and simplify the manipulation of various types of point clouds, offering robust tools tailored for specific needs in industries like gaming, architecture, geospatial planning, and more. Here are some key use cases for this editor:
1. COLMAP Point Clouds: For users working with photogrammetry and 3D reconstruction, the editor provides tools to refine COLMAP point clouds. By allowing users to erase outliers and adjust density via cropping tools, the editor helps in cleaning up noise and improving the accuracy before exporting the data for 3D modeling or further processing.
2. Gaussian Splat Point Clouds: Gaussian splatting involves rendering point clouds with a smoothing effect to create a continuous surface. Before this process, our point cloud editor can be used to selectively edit and remove unwanted points, optimize the distribution, and modify radius parameters to achieve better visualization results in visualization software.
3. Architectural Visualization: Architects and designers can use the editor to manipulate scanned point clouds of buildings or construction sites. This helps in refining structural data, removing unnecessary points like moving objects or foliage, and preparing cleaner models for CAD applications.
4. Geospatial Data Handling: Geospatial analysts can benefit from the tool’s ability to manage and edit large-scale terrain data. The editor allows for the precise adjustment of elevation points, removal of anomalies, and enhances data sets for use in urban planning and landscape analysis.
5. Game Development: Game developers can use the editor to sculpt and tweak point clouds for environmental assets. Ensuring the optimal level of detail and cleaning up artifacts to create immersive game worlds is facilitated by the editor’s intuitive interface and powerful editing capabilities.
These use cases demonstrate the versatility of the Panoton Point cloud Editor, making it an indispensable tool for professionals seeking to enhance their point cloud data for various applications.