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About the technology
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Gaussian Splatting is an algorithmic technique that converts 2D images into 3D models by representing objects as clusters of Gaussian particles (mathematically defined spots). Each particle contains data on position, color, and transparency, collectively forming a smooth, interactive 3D image.
3D reconstruction refers to the process of creating a three-dimensional model of an object or scene from 2D images or videos. This technique is essential in many industries, including virtual product presentations, architectural visualization, and medical applications.
Traditional methods such as photogrammetry or laser scanning are often expensive, time-consuming, and require specialized hardware and expertise. This is where Gaussian Splatting comes in—a groundbreaking technology that makes 3D reconstruction faster, more cost-effective, and more accessible.
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What is needed?
Tips for optimum results:
Gaussian particles:
The software breaks down the images into millions of tiny “splats” (ellipsoids) that represent the position, color, and size of the object.
These particles are mathematically arranged in such a way that a uniform 3D image is created from every angle.
AI support:
Modern tools use machine learning to automatically correct errors in images (e.g. blurry areas).
Visualization in real time:
Artificial intelligence plays a crucial role in optimising Gaussian Splatting (GS). Modern algorithms can:
Example:
An architecture firm uses AI-powered GS tools to create real-time 3D models of buildings, allowing them to present projects live to clients.
Create web-optimized 3D models from photos/videos.
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Obsphera Studio enables the automated production of high-quality marketing assets from 3D models.
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