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Visual object recognition refers to the ability to identify the objects in view based on visual input. One important signature of visual object recognition is "object invariance", or the ability to identify objects across changes in the detailed context in which objects are viewed, including changes in illumination, object pose, and background context.
The Rubin vase illusion, where it is ambiguous which part is the figure and which the ground Shapes which can be read as a word once the viewer recognises them as being the isolated negative spaces of a word. Figure–ground organization is a type of perceptual grouping that is a vital necessity for recognizing objects through vision.
The figure-ground theory of urban design and urban morphology is based upon the use of figure ground studies. It relates the amount of "figure" to the amount of "ground" in a figure-ground diagram, and approaches urban design as a manipulation of that relationship, as well as being a manipulation of the geometric shapes within the diagram.
Figure and ground (media), a concept developed by media theorist Marshall McLuhan; Figure–ground (perception), referring to humans' ability to separate foreground from background in visual images. Figure-ground perception is one of the main issues in gestalt psychology. Figure-ground in map design, the ability to easily discriminate the main ...
The Rubin vase (sometimes known as Rubin's vase, the Rubin face or the figure–ground vase) is a famous example of ambiguous or bi-stable (i.e., reversing) two-dimensional forms developed around 1915 by the Danish psychologist Edgar Rubin.
The theory to explain the different psychological experiences is called belongingness. The discs on the left appear dark and the ones on the right appear light, this is because of the two displays. In the display on the left, the dark area on the left seemingly belongs to the discs, and the discs are obscured by the light mist.
The visual cortex of the brain is the area of the cerebral cortex that processes visual information.It is located in the occipital lobe.Sensory input originating from the eyes travels through the lateral geniculate nucleus in the thalamus and then reaches the visual cortex.
In particular see "Chapter 4: Artificial Neural Networks" (in particular pp. 96–97) where Mitchell uses the word "logistic function" and the "sigmoid function" synonymously – this function he also calls the "squashing function" – and the sigmoid (aka logistic) function is used to compress the outputs of the "neurons" in multi-layer neural ...