djupbilder

Djupbilder is a Swedish term that translates to "deep pictures" or "depth images" in English. It refers to images that capture not only the color and intensity of a scene but also information about the distance of objects from the camera. This depth information is typically represented as a grayscale image where lighter shades indicate closer objects and darker shades indicate farther objects, or vice-versa, depending on the convention used.

These images are generated by specialized hardware, such as depth cameras or by using techniques like stereo vision, which employs two or more cameras to triangulate distances. Another method involves time-of-flight (ToF) sensors that measure the time it takes for light to travel to an object and back. Structured light scanners also project a pattern of light onto a scene and analyze its deformation to infer depth.

Djupbilder have a wide range of applications. In robotics and autonomous systems, they enable machines to perceive their environment, navigate obstacles, and interact with objects. In augmented reality (AR) and virtual reality (VR), depth images allow for more realistic rendering and accurate placement of virtual objects within a real-world scene. They are also used in 3D scanning, computer graphics, and medical imaging. The processing of djupbilder often involves algorithms for noise reduction, hole filling, and geometric reconstruction.