Depth image segmentation

Depth image segmentation is the process of dividing a depth image, which captures how far each point in a scene is from a camera, into distinct areas or segments. This helps identify and separate objects in a three-dimensional space. By analyzing the depth information, algorithms can differentiate between foreground objects (like people or cars) and background elements (like buildings or trees). This technique is useful in various fields, such as robotics, augmented reality, and computer vision, enhancing our ability to understand and interact with the physical environment through digital means.