Search results
Results from the WOW.Com Content Network
[3] made by the VUE team on their forums, new features include: tools for dynamic presentation of maps, map merge and analysis tools, enhanced keyword tagging and search capabilities, support for semantic mapping using ontologies, expanded search of online resources such as Flickr, Yahoo, Twitter, or PubMed.
Computer graphics lighting is the collection of techniques used to simulate light in computer graphics scenes. While lighting techniques offer flexibility in the level of detail and functionality available, they also operate at different levels of computational demand and complexity.
A surface can have a lightmap that has the same area, so a 1:1 ratio, or smaller, so the lightmap is stretched to fit. Lightmaps in games are usually colored texture maps. They are usually flat, without information about the light's direction, whilst some game engines use multiple lightmaps to provide approximate directional information to ...
The spectral centroid is a measure used in digital signal processing to characterise a spectrum. It indicates where the center of mass of the spectrum is located. Perceptually, it has a robust connection with the impression of brightness of a sound. [1] It is sometimes called center of spectral mass. [2]
Blank area for creating Locator maps. Based on simplified Location maps. A province in the country (when the blank map is actually filled). /Area maps (en) Maps that highlight one subject area, primarily for species distributions. Locator maps: a country (red) in its region and in the world (corner map). Multi-area: ranges of animals species ...
A spectral map f: X → Y between spectral spaces X and Y is a continuous map such that the preimage of every open and compact subset of Y under f is again compact. The category of spectral spaces, which has spectral maps as morphisms, is dually equivalent to the category of bounded distributive lattices (together with homomorphisms of such ...
Hyperspectral imaging collects and processes information from across the electromagnetic spectrum. [1] The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes. [2] [3] There are three general types of spectral imagers.
A coverage map may be produced to indicate the area in which a certain signal strength is delivered. [1] Even if it is 100% accurate (which it never is), a major factor on whether a signal is receivable depends very much on whether the receiving apparatus is sensitive enough to use a signal of that level.