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  2. Cue mark - Wikipedia

    en.wikipedia.org/wiki/Cue_mark

    That puts the motor cue at frames 198–195 from the end of the picture section of the reel (12.34 to 12.15 feet; or 12-foot-6-frames through 12-foot-3-frames), and the changeover cue at frames 21–19 from the end (1.31 to 1.18 feet; or 1-foot-5-frames through 1-foot-3-frames). As of January 2005, most domestic United States release prints ...

  3. Template:World Labelled Map - Wikipedia

    en.wikipedia.org/wiki/Template:World_Labelled_Map

    X values are always between 0 and 1. For square images, Y values are also between 0 and 1. The maximum Y value is higher for tall images, lower for wide images. The X and Y values represent the fraction of the width where the label will be placed. The exact point is the top-left corner of the image label.

  4. Roundedness - Wikipedia

    en.wikipedia.org/wiki/Roundedness

    There are two types of vowel rounding: protrusion and compression. [3] [4] [5] In protruded rounding, the corners of the mouth are drawn together and the lips protrude like a tube, with their inner surface visible. In compressed rounding, the corners of the mouth are drawn together, but the lips are also drawn together horizontally ("compressed ...

  5. Template:Round corners - Wikipedia

    en.wikipedia.org/wiki/Template:Round_corners

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  6. Roundness - Wikipedia

    en.wikipedia.org/wiki/Roundness

    Having a constant diameter, measured at varying angles around the shape, is often considered to be a simple measurement of roundness.This is misleading. [3]Although constant diameter is a necessary condition for roundness, it is not a sufficient condition for roundness: shapes exist that have constant diameter but are far from round.

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    AOL Mail is free and helps keep you safe. From security to personalization, AOL Mail helps manage your digital life Start for free

  8. Corner detection - Wikipedia

    en.wikipedia.org/wiki/Corner_detection

    Corner detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner detection is frequently used in motion detection, image registration, video tracking, image mosaicing, panorama stitching, 3D reconstruction and object recognition.

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