Camera Position Estimation is the process of determining where a camera is located and how it is oriented relative to a scene or reference coordinate system. Computer vision algorithms use visual features, known geometric points, depth information, or multiple images to estimate the camera’s position and rotation, often described as its pose.
This capability is important in robotics, autonomous vehicles, augmented reality, and 3D mapping, where systems need to understand their viewpoint within an environment. For example, an autonomous robot can estimate its camera position relative to surrounding landmarks to navigate through a building, while an AR application can use camera pose to place virtual objects accurately within the physical scene.