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disparity

disparity

1 8.5
A horizontal shift between the same point in two images that shows distance
  • noun
  • /dɪˈspærɪti/
  • Specialized
translation icon : disparidad
  • By measuring the disparity between the two views, the system can estimate how far away an object is located.
  • binocular disparity
  • disparity map
  • disparity measure

And so the vertical disparity provides the constraint.

Examples

  • A stereo pair of 2-D images has been used to establish the disparity measure of corresponding feature points in these images.

    Academic text (1995)
  • From the disparity information, the object should be contained in the fifth depth region of the perspective map.

    Academic text (1995)
  • Analysis of the stereo pair yields approximately equivalent disparity information throughout the entire image.

    Academic text (1995)
  • Note that the binocular disparity has affected the direction of its actual path.

    Academic text (2003)
  • The movement of the objects from left to right decreased their binocular disparity.

    Academic text (2003)
  • At these corresponding points, once the disparity is extracted, depth can be derived using simple triangulation.

    Academic text (1995)
  • The stereo camera captures a horizontal disparity that allows for the calculation of depth in the image.

  • The significant disparity in alignment between the images was crucial for accurate depth perception.

Synonyms

gap
vsdisparity
365 1.7

A difference between two groups or amounts

is a technical horizontal shift between image points used to measure depth

How Large

disparity
  • Specialized
1 8.5
displacement
  • Specialized
13 5.9
shift
363 3.5
offset
4 6.0

Surface Forms

disparity singular
disparities plural

Morphology

disparity = parity (semi-transparent) = dis + parity

Structurally 'dis-' + 'parity' = 'difference', but the sense is a technical, domain-specific use (stereo vision shift) that may not be obvious to general learners.

Etymology

Disparity comes from Latin parts dis- 'not' and par 'equal', so it originally means 'not equal' or a 'difference'. In stereo vision the word keeps that sense: it is the difference in position between two images, and that difference helps computers and robots judge how near or far an object is.