This technology involves algorithms and tools that reconstruct a 3D scene from a set of 2D images, often captured from varying viewpoints. By analyzing the movement of features across these images, it estimates both the 3D structure of the scene and the camera positions. As an example, consider photographing a building from different angles; the software can then process these photographs to create a 3D model of the building.
The utilization of this approach offers numerous advantages. It allows for the creation of 3D models from readily available image data, reducing the need for specialized sensors or controlled environments. Historically, the development of these methods was driven by advancements in computer vision and computational power, leading to its adoption in diverse fields such as surveying, robotics, and cultural heritage preservation. Its benefits include cost-effectiveness, versatility, and the ability to capture complex scenes with relative ease.