When you generate a 3D model from drone imagery, you typically end up with two options: a point cloud or a textured mesh. Both represent the same physical environment in 3D, but they do it in very different ways.
So how do you know which one to use?
Let’s break down what each output is, how they’re used, and when one might be better than the other for your inspection, mapping, or modeling needs.
A point cloud is a dense collection of individual data points, each one defined by X, Y, and Z coordinates in space. Think of it like a cloud of tiny dots floating in 3D. Each point can also carry extra data, like colour from the original imagery (known as RGB).
Because it’s made from raw spatial data, a point cloud captures a site’s shape and elevation in high detail. It’s incredibly useful for accurate measurements and technical analysis—but visually, it can look a bit like a fuzzy or pixelated version of the real world.
A textured mesh starts with a geometric framework—usually triangles connected to form surfaces. Then, real-world photos are wrapped over those surfaces like a skin. The result is a photorealistic 3D model that feels much more life-like and easier to visually interpret.
It’s less about pinpoint accuracy and more about helping you see and understand the site in a realistic, intuitive way—making it ideal for stakeholder presentations or reviewing details like structures, facades, or terrain features.
Different outputs work better depending on your goal. A visual inspection has different requirements than, say, volumetric analysis or detailed engineering design.
Choosing the right 3D format can affect:
Point clouds are best when precision is the priority. Use them when you need:
They’re also great for filtering, classifying, and exporting into more advanced GIS or BIM platforms.
Note: Point clouds can be visually overwhelming, especially for stakeholders not used to interpreting them. That’s where a mesh can be more helpful.
Textured meshes are ideal when you need to visualize the site clearly—especially for communication, review, or approvals. Use them when:
They’re also useful in planning or design reviews where the spatial feel of a site is more important than exact measurement accuracy.
Yes absolutely — many teams do. In fact, Birdi generates both outputs from the same data capture, so you can switch between them based on what you’re working on.
For example:
Choosing the right tool for the task improves efficiency, avoids confusion, and gives you confidence in your results.
Also, check out our other resources on 3D visualization, point clouds and textured meshes: