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Fog effect Shallow depth of field effect. Depth maps have a number of uses, including: Simulating the effect of uniformly dense semi-transparent media within a scene - such as fog, smoke or large volumes of water. Simulating shallow depths of field - where some parts of a scene appear to be out of focus. Depth maps can be used to selectively ...
In education, a data system is a computer system that aims to provide educators with student data to help solve educational problems. [3] Examples of data systems include Student Information Systems (SISs), assessment systems, Instructional Management Systems (IMSs), and data-warehousing systems, but distinctions between different types of data systems are blurring as these separate systems ...
OLAP clients include many spreadsheet programs like Excel, web application, SQL, dashboard tools, etc. Many clients support interactive data exploration where users select dimensions and measures of interest. Some dimensions are used as filters (for slicing and dicing the data) while others are selected as the axes of a pivot table or pivot chart.
For example, on the Minox LX focusing dial there is a red dot between 2 m and infinity; when the lens is set at the red dot, that is, focused at the hyperfocal distance, the depth of field stretches from 2 m to infinity. Some lenses have markings indicating the hyperfocal range for specific f-stops, also called a depth-of-field scale. [43]
First two images illustrate typical DOF of a single image at f/10 while the third image is the composite of six images. Focus stacking (for extended depth of field) in bright field light microscopy. This example is of a diatom microfossil in diatomaceous earth. Three source images at different focus distances (top left) are combined with masks ...
Data architecture consist of models, policies, rules, and standards that govern which data is collected and how it is stored, arranged, integrated, and put to use in data systems and in organizations. [1] Data is usually one of several architecture domains that form the pillars of an enterprise architecture or solution architecture. [2]
In computer science, iterative deepening search or more specifically iterative deepening depth-first search [1] (IDS or IDDFS) is a state space/graph search strategy in which a depth-limited version of depth-first search is run repeatedly with increasing depth limits until the goal is found.
A canonical example of a data-flow analysis is reaching definitions. A simple way to perform data-flow analysis of programs is to set up data-flow equations for each node of the control-flow graph and solve them by repeatedly calculating the output from the input locally at each node until the whole system stabilizes, i.e., it reaches a fixpoint.