Introduction
Novorender supports visualization of classified point clouds, allowing users to color and filter point data by classification codes. This functionality is especially useful for projects involving terrain analysis, vegetation mapping, infrastructure scanning, and other geospatial or civil engineering use cases.
This manual explains the requirements and steps to visualize classifications in Novorender, using file formats like LAS, LAZ, or e57 that already contain point classification data. Rrender with distinct colors for better analysis.
Minimum Requirements
To visualize classifications:
The point cloud must include classification data.
Common supported formats:
.LAS,.LAZ,.e57.Each point should have a classification code embedded within the file.
The classifications are typically defined using ASPRS standard classes or custom labels.
Optional: CSV file with defined minimum codes and labels for each class. Needed in Method 2.
How to Visualize Classifications
1. Import the Point Cloud
Upload the point cloud file via the https://projects.novorender.com/
Wait until the processing is complete and the point cloud is available in the 3D view (Explorer).
2. Open the "Point Visualization" Panel
Open your project in Explorer
Select Validation > Point Visualization
Find the section titled "Classification".
Click the three dot menu to access visualization controls.
3. Method 1: Manual Definition Using the UI
Click on the “Add Classification” button.
A new row will appear with three editable fields:
Code (e.g., 2)
Label (e.g., “Ground”)
Color (e.g.,
#8B4513)
Repeat for each classification class.
4. Method 2: Importing from a CSV File
Create a CSV file according to the requirements described below with minimum 2 columns. Here is an example file you can download: Classification-point cloud-example Novorender.csv
Here's a sample classification configuration:
CODE | LABEL | Colour Code (OPTIONAL) |
0 | Created, Never Classified |
|
1 | Unclassified |
|
2 | Ground |
|
3 | Low Vegetation |
|
4 | Medium Vegetation |
|
Example CSV Structure
CODE,LABEL,COLOUR
0,Created, Never Classified,#D3D3D3
1,Unclassified,#FFFFFF
2,Ground,#8B4513
3,Low Vegetation,#90EE90
4,Medium Vegetation,#008000
CODE: A numeric value corresponding to the classification in the point cloud.
LABEL: A textual description of the class.
COLOUR (optional): A valid hex color code (e.g.,
#RRGGBB). If not provided, default colors will be used.
Steps to Import:
In the Classification section, click on “Import”.
Select your CSV file with the desired classifications.
The system will automatically parse and apply the entries.