Crossview 3-D — Stereoscopic Dominate Eye Colour Theory

This image made with our Alpha Transparency 3D and Crossview 3D Algorithms.

Crossview 3-D — Stereoscopic Dominant Eye Colour Theory

A stereoscopic dominate eye algorithm to highlight the variation of colours for binocular vision.

Photo Width: pixels

Choose a colour to highlight the variation of.

Colours:
Colour:

— OR —

Use our colour chart or colour table to find a colour.

Gamma correction Threshold: Alpha compositing colour ratio:

Photo URL, Upload or choose a Bing Image Of The Day from our Bing Wallpaper Archive

URL:	Or Upload:

Eye Preference / Ocular Dominance:
Left Dominant EyeRight Dominant Eye

• Photos must be .jpg, or .png, not exceed 5MB, and max width by height is (w)3840px (x) (h)3840px.

  • Larger width numbers, the larger the photo.
  • Width can be any number between 1 and 3840.
  • Colours adds colour to the crosswiew side of the photo.
  • NoEffect highlights no colours with no Alpha composing colour.
  • Transparent highlights colours with no Alpha composing colour.
  • Highlighting colours is based on high photo pixel bit depth and photo quality.
  • RGBY (Red-Green & Blue-Yellow) might change existing colours a the pixel level.
  • Some matched colours may not be highlighted based on pixel bit depth and photo quality.
  • Gamma correction is used for contrast enhancement (0 -.255), (No decimal before number).
  • Threshold is used for segmenting objects (.0 -.255 or 1.0 - 255.0), (Decimal before number).
  • Colour Opacity Ratio controls colour transparency. We recommend .50 (.0-.255), (Decimal before number).

What's the importance of using the Stereoscopic Dominant Eye Colour Theory algorithm?

  • The Stereoscopic Dominant Eye Colour Theory algorithm tests for visual acuity, colour deficiency,
     contrast sensitivity, nearsightedness, and farsightedness.

  • The Stereoscopic Dominant Eye Colour Theory algorithm also tests for deuteranopia, tritanopia, protanopia
     and for a wide range of colours for almost any picturesque scene.

  • The Stereoscopic Dominant Eye Colour Theory algorithm is a low-cost way to screen for 20/20 binocular colour vision.

   Knowing which is your dominant eye can help you perform better in many activities. Here are a few examples:

  • Stereoscopic Dominant Eye Colour Theory in photography is important when composing
     a photograph from a digital or film camera. Using your dominant eye will give you an accurate preview of the
     actual shot. Using your non-dominant eye will cause certain details to be slightly displaced laterally or off-frame.

  • Stereoscopic Dominant Eye Colour Theory in sports is important to help you to position your
     head properly to take full advantage of your dominant eye. For example, in baseball or softball, you need to turn your
     head enough when batting so your dominant right or left eye can see the rotation, speed and position of the approaching pitch.
     In basketball you need to turn your head back and forth and position your body based on your dominate eye to get the best accurate
     shot.

  • Stereoscopic Dominant Eye Colour Theory in shooting is important when hitting moving targets with a weapon,
     for example, if you are a right-handed (and therefore right-shouldered) shooter but have a dominant left eye, you may find yourself
     shooting behind a left-to-right moving target and in front of a right-to-left moving target. Being aware of this will help you make the
     correct adjustments to improve your shooting accuracy.

  Example from a real-user who highlighted the variation of the colour red for her right dominant eye.
  • The algorithm may highlight the variation other colours in image data that may contain your chosen colour.
  • In this photo her sweater, lips, hair, skin contain the colour red.

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