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https://github.com/cgtuebingen/pointcloud-viewer
Efficient Large-Scale Point-Cloud Viewer based on OpenGL
https://github.com/cgtuebingen/pointcloud-viewer
gles glut large-scale opengl point-cloud qt scientific-visualization viewer visualization
Last synced: about 2 months ago
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Efficient Large-Scale Point-Cloud Viewer based on OpenGL
- Host: GitHub
- URL: https://github.com/cgtuebingen/pointcloud-viewer
- Owner: cgtuebingen
- License: gpl-3.0
- Archived: true
- Created: 2018-04-24T11:47:28.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-04-16T12:24:45.000Z (over 4 years ago)
- Last Synced: 2024-08-01T03:25:21.347Z (5 months ago)
- Topics: gles, glut, large-scale, opengl, point-cloud, qt, scientific-visualization, viewer, visualization
- Language: C++
- Homepage: http://pointcloudviewer.org
- Size: 1.55 MB
- Stars: 78
- Watchers: 10
- Forks: 27
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Point Cloud Viewer
[](http://ci.patwie.com/cgtuebingen/pointcloud-viewer)
This tool allows viewing huge point clouds and export a flight through ([as used in this video](https://youtu.be/5ftWmuQXU_s?t=46)).
Beta version, not recommended for usage in commercial productions!!
## Build on Ubuntu
Install dependencies
sudo apt install build-essential cmake
sudo apt install qt5-default libqt5opengl5-dev libboost-all-dev
Clone with
git clone [email protected]:cgtuebingen/pointcloud-viewer.git
cd pointcloud-viewer/
git submodule update --init
Compile with
mkdir build
cd build
cmake -DCMAKE_BUILD_TYPE=Release ../src
make -j8
Run with
pointcloud_viewer/pointcloud_viewer
## Usage: Basics
Load a Point Cloud with the menu bar:
> **Project > Import Pointcloud**
There are two available navigation schemes for navigating the 3d view:
- Blender
**View > Navigation > Blender**
- MeshLab
**View > Navigation > MeshLab**
### Blender Inspired Navigation Scheme
In the Blender Navigation scheme, you will see a grid:
You have three different ways to navigate:
- **First Person Navigation**
This Navigation resembles the movement of a first person shooter game.
1. Enter the first person navigation by pressing +
2. Move around
- Look around by moving your mouse
- Move forward/backward by holding /
- Move left/right by holding /
- Move up/down by holding /
- You can roll the camera by scrolling with 
- To reset the rolling, just press  while holding .
3. Leave the first person navigation
- Keeping the new position by pressing  or 
- Undo the position and reset to the old one by pressing  or 
- **Turntable Navigation**
This Navigation allows a quickly switching the perspective on the point cloud.
- For turning the view around the object, hold  and move your mouse.
- For shifting the view orthogonal to the view direction, hold  and  and move your mouse.
- For changing the distance to the object, scroll with  or hold  and  and move your mouse.
- **Selecting Points**
You can quickly select a point and move towards it.
- To select a single point, right click it .
- To center the view around the selected point, press  (the comma key).
### MeshLab Inspired Navigation Scheme
In the Blender Navigation scheme, you will see a trackball:
You have three different ways to navigate:
- **First Person Navigation**
- Usage is the same as in the Blender Navigation Scheme
- **Trackball Navigation**
This Navigation allows a quickly switching the perspective on the point cloud.
- For turning the view around the object, rotate the trackball by moving it with the mouse while holding .
- For shifting the view orthogonal to the view direction, move the trackball with the mouse while holding  and .
- For changing the distance to the object, scroll with  or move the trackball with the mouse while holding  and .
- **Selecting Points**
You can quickly select a point and move towards it.
- To select a single point, right click it .
- To center the view around a point, double click it with  or 
Additionally, you can change the render properties:
- To change the point rendering size, hold  and scroll with 
## Usage: Animation
You can animate the camera by defining a camera path.
The path consists out of multiple key-points.
If you have already a ready to use camera path, you can import it with the menu bar:
> **Flythrough > Import Path**
Alternatively, you can create your own path by navigating the camera and add a new key-point by pressing .
More options for changing the flythrough camera animation can be found in the **Flythrough-Tab** (red):
- With the **Flythrough Menu** (yellow), you can
- export the current flythrough path
- import an already created flythrough path
- In the **Keypoints List** (blue), you can reorder keypoints and remove unwanted keypoints.
- In the **Playback Area** (green), you can modify the
- duration of the whole flythrough
- velocity of the camera
- interpolation between points
## Usage: Render
You can render the frames of the animation to single png files. To do this, go the the **Render-Tab** (red):
- With the **Render Button** (blue), you start the Rendering Process and start the rendering process. If this button is grayed out, you need to create a key-point for the animation (you can press  for creating a single key-point at the current camera location).
- You can customize the style
- Change the brightness of the background (0 is black, 255 is white and 54 the default brightness)
- Change the point size
## Typical usage: Data Inspection
You can render the frames of the animation to single png files. To do this, go the the **Data-Inspection-Tab** (red):
Here, you can
- Build the KD-Tree (blue)
- See information of the selected point (green)
In order to be able to pick single points, you need to build the KD-Tree first. You can to this with the bug **Unlock Point Picker** button. In order to automatically build the KD-Tree every time you load a point-cloud, check the **Automatically Unlock after loading** checkbox.
If you try to pick a point (by clicking ) without building the KD-Tree first, a remonder dialog will open and allow you to immediately build the KD-Tree:
## Known Issues
Currently, no optimization technique is applied. When the pointcloud size exceeds the available video memory, the application will probably crash.