Polycam offers several processing options for LiDAR scans, allowing users to customize settings based on their specific project needs.
Detail Settings for Photo Mode Processing in Polycam
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Fast: Optimized for speed, the Fast option uses a higher voxel size and increased simplification to reduce processing time. This is ideal for quick scans where less detail is required.
- Best for: Large spaces where the highest resolution is not necessary, and speed is prioritized.
- Best for: Large spaces where the highest resolution is not necessary, and speed is prioritized.
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Object: The Object option focuses on capturing fine details, using a lower voxel size and minimal simplification. This results in a highly detailed model, but with longer processing times.
- Best for: Small objects where accuracy and detail are important.
- Best for: Small objects where accuracy and detail are important.
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Space: This option is designed for scanning interior spaces, such as rooms. It includes a lower voxel size with some simplification, along with wall-straightening algorithms to ensure geometric accuracy of walls and other large surfaces.
- Best for: Rooms and other large environments where wall alignment is important.
- Best for: Rooms and other large environments where wall alignment is important.
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Cloud: The Cloud option is similar to the Space option but with the added benefit of processing at a higher resolution. This option uses high-resolution images to provide a more detailed scan of large spaces.
- Best for: High-quality scans of interior spaces that require cloud processing for larger data sets and enhanced resolution.
How to Use Custom Settings
If you prefer more control, you can use Custom Settings to adjust specific processing settings.
Depth Range: This value sets the depth range to use for processing each frame of the capture sequence. The max range of 5m is set by the range of the LiDAR sensor.
Restricting the depth range may be useful, for example, to exclude background material from an object capture.
Voxel Size: The minimum voxel size to use when processing the capture. Smaller voxel sizes take longer to process and lead to more Polygons.
Simplification: The amount of implications to apply to the mesh before texturing. For example, a simplification of 40% would reduce polygon count by 40% before texturing. Higher values result in lower-poly models.