A new method is rapidly gaining traction for digitally recording the world around us: Gaussian Splatting. Photogrammetry has long been the go-to for 3D reconstruction; however, this revolutionary technique produces ultra-realistic visualizations. Visuals you might expect from something like RealEngine. As such, this splat-based 3D visualization method enhances intricate details in scenes where photogrammetry can struggle.
Understanding Gaussian Splatting in Simple Terms
At its core, Gaussian splatting creates dense, photorealistic renderings using a differing approach than meshes or point clouds. Instead of forming a geometric model, this method uses small “splats.” Basically, 3D-rendered points with shape and color.
Consequently, this technique excels in rendering complex subjects like foliage, shiny cars, or thin structures. In the aforementioned instances, conventional photogrammetry can struggle to accurately capture objects which have a strong reflective component– like mirrors or windows. Moreover, Gaussian-based 3D rendering handles image data from smartphones and drone video just as effectively as DSLR photos.
Why Gaussian Splatting Matters in a Photogrammetry Workflow
To begin with, traditional photogrammetry can deliver excellent spatial accuracy. However, the visual fidelity often lags behind. While traditional photogrammetry delivers accurate data, these traditional models can often lack the WOW factor. For instance, reflective or low-texture surfaces might appear blurred or incomplete in the final model.
In contrast, Gaussian splatting preserves intricate visual detail and delivers a visually stunning rendering. Thus, it becomes an ideal companion to standard photogrammetry—especially when presentation matters.
When Should You Use It?
Notably, gaussian splatting is perfect for legal, media, or public-facing outputs. Imagine presenting a road collision scene. Photogrammetry gives you the numbers. This innovative method gives the viewer a near-perfect visual snapshot.
How Our Updated Course Bridges the Gap
That’s why we’ve integrated real-world data into our Zephyr and Metashape courses. With it, you’ll learn how to export aligned cameras from Metashape and import them directly into tools like Jawset Post Shot. Furthermore, you’ll work with source images, drone datasets, and even smartphone video.
By the end, you’ll know when to use Gaussian splatting—and how to do it fast.
Ready to See the Difference?
Don’t wait until your next project falls short visually. Instead, explore how gaussian splatting can elevate your deliverables. Join one of our updated courses today and take your 3D workflows to the next level.
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