Feature Detectors

Feature Detectors

Feature Detectors are nerve cells in the brain that respond to specific features of a stimulus, such as shape, angle, or movement (for visual stimuli). The nerve cells fire selectively in response to stimuli that have specific characteristics. Feature detectors were first discovered by David Hubel and Torsten Wiesel of Harvard University, which won them both the 1981 Nobel Prize.

Experiments have suggested the existence of linguistic feature detectors for phonemes (Eimas & Corbit, 1973).


Wikimedia Foundation. 2010.

Игры ⚽ Нужно решить контрольную?

Look at other dictionaries:

  • Feature detection (computer vision) — In computer vision and image processing the concept of feature detection refers to methods that aim at computing abstractions of image information and making local decisions at every image point whether there is an image feature of a given type… …   Wikipedia

  • Feature detection — The notion of feature detection is used with somewhat different but nevertheless related meanings in different areas that deal with automated interpretation of sensory or measurement data.In the area of computer vision, feature detection usually… …   Wikipedia

  • Scale-invariant feature transform — Exemple de résultat de la comparaison de deux images par la méthode SIFT (Fantasia ou Jeu de la poudre, devant la porte d’entrée de la ville de Méquinez, par Eug …   Wikipédia en Français

  • Scale-invariant feature transform — Feature detection Output of a typical corner detection algorithm …   Wikipedia

  • Corner detection — Feature detection Output of a typical corner detection algorithm …   Wikipedia

  • Scale space — theory is a framework for multi scale signal representation developed by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision. It is a formal theory for handling …   Wikipedia

  • Hessian Affine region detector — The Hessian Affine region detector is a feature detector used in the fields of computer vision and image analysis. Like other feature detectors, the Hessian Affine detector is typically used as a preprocessing step to algorithms that rely on… …   Wikipedia

  • Kadir Brady saliency detector — The Kadir Brady saliency detector is designed to detect representative region in images. It performs well in the context of object class recognition. It was invented by http://www.robots.ox.ac.uk/ timork/ Timor Kadir] and [http://www.robots.ox.ac …   Wikipedia

  • Pattern recognition (psychology) — Pattern recognition involves identification of faces, objects, words, melodies, etc. The visual system does more than just interpret forms, contours and colors. Pattern recognition refers to the process of recognizing a set of stimuli arranged in …   Wikipedia

  • Word superiority effect — In cognitive psychology, the word superiority effect (WSE)refers to a particular mental phenomenon, in which people recognize letters in the context of a word better than when the letter is presented in isolation. This effect was first described… …   Wikipedia

Share the article and excerpts

Direct link
Do a right-click on the link above
and select “Copy Link”