Why do some points misalign or fail to auto-align in a project with the Galois device?

When capturing with the Galois device, each scan records spatial data from its current position and appears as a “point” in the 3D Virtual Tour.

Auto-alignment refers to the algorithm that automatically stitches these points together based on the overlapping views between them.

Here are common reasons why Auto-Alignment might fail, along with recommended solutions:

🔹 1. Points are placed too far apart

If adjacent points are placed too far apart, there may be insufficient overlap in visual data to allow for automatic alignment.

Recommended solution:
Ensure that adjacent points have enough overlapping views. Try placing points closer together, especially in larger or open areas.
👉 See also: [How to place capture points? ]

🔹 2. Obstructed or disconnected views between points

Even if points are close enough, alignment can fail if obstacles—such as walls, partitions, or closed doors—obstruct the line of sight for both the lens and LiDAR camera.

Recommended solution:
Please ensure a clear line of sight between adjacent points. Avoid placing scan points on either side of solid barriers.

🔹 3. Captured scenes are too similar

In repetitive environments (e.g., long empty corridors), if two points lack distinct visual features, the algorithm may not be able to match them accurately.

Recommended solution:
Use the manual alignment feature in the Realsee App to manually adjust and align points that fail to auto-align.

💡 Tip:

To improve alignment results, please always plan your point placement with visual overlap and scene distinctiveness in mind.