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Depending on the intended use of a depth map, it may be useful or necessary to encode the map at higher bit depths. For example, an 8 bit depth map can only represent a range of up to 256 different distances. Depending on how they are generated, depth maps may represent the perpendicular distance between an object and the plane of the scene camera.
The metadata types include: depth map, camera pose, point cloud, lens model, image reliability data, and identifying info about the hardware components. This metadata can be used, for instance, to create depth effects such as a bokeh filter, recreate the exact location and position of the camera when the picture was taken, or create 3D data ...
Once you have the multiple depth maps you have to combine them to create a final mesh by calculating depth and projecting out of the camera – registration. Camera calibration will be used to identify where the many meshes created by depth maps can be combined to develop a larger one, providing more than one view for observation.
The values in this disparity map are inversely proportional to the scene depth at the corresponding pixel location. For a human to compare the two images, they must be superimposed in a stereoscopic device, with the image from the right camera being shown to the observer's right eye and from the left one to the left eye.
As a consequence, range imaging based on stereo triangulation can usually produce reliable depth estimates only for a subset of all points visible in the multiple cameras. The advantage of this technique is that the measurement is more or less passive; it does not require special conditions in terms of scene illumination.
The separate depth maps should be composed into a scene depth map. This is an iterative process requiring adjustment of objects, shapes, depth, and visualization of intermediate results in stereo. Depth micro-relief, 3D shape is added to most important surfaces to prevent the "cardboard" effect when stereo imagery looks like a combination of ...
The depth of field (DOF) is the distance between the nearest and the farthest objects that are in acceptably sharp focus in an image captured with a camera. See also the closely related depth of focus .
In order to properly assess the real world, depth maps are created to measure the amount of space between objects or surfaces. A depth-from-motion algorithm takes the motion data from the user's camera and utilizes it to create a more detailed depth map. [7]