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Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the objects may vary somewhat in different view points, in many different sizes and scales or even when they are translated or rotated.
Most people showing amazing memory abilities use mnemonic strategies, mostly the method of loci. This includes all winners of the annual World Memory Championships and most of the known scientific cases of excellent memories, like Solomon Shereshevsky. Regardless, the following list contains people who have claimed photographic memory. [4]
Put a quote, and its source, inside a box, with flexible control over bordering, background color, alignment, and other features Template parameters [Edit template data] This template prefers block formatting of parameters. Parameter Description Type Status CSS class class Optional CSS class to modify or override the default class ''quotebox''. Care should be used when using this parameter ...
[[Category:Quotation templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Quotation templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
To change this template's initial visibility, the |state= parameter may be used: {{Quotation templates | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar. {{Quotation templates | state = expanded}} will show the template expanded, i.e. fully visible.
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.
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A demonstration of the global-to-local hypothesis: people see the A before the Hs. Although the pandemonium architecture is built on the fact that it can account for the image constancy phenomena, some researchers have argued otherwise; and pointed out that the pandemonium architecture might share the same flaws from the template matching models.