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Metrology 1. Perspective distortion. 2. Depth is lost.

Metrology 1.Perspective distortion. 2.Depth is lost

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Page 1: Metrology 1.Perspective distortion. 2.Depth is lost

Metrology

1. Perspective distortion.2. Depth is lost.

Page 2: Metrology 1.Perspective distortion. 2.Depth is lost

Measure with Reference

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Geometric Cues - Projections

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Points: 2D Coordinates

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Lines: 2D Coordinates

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Homogeneous Coordinates

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Join = Cross Product.

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Vanishing Points and Lines

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Joining Parallel Lines?

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Determinants (Method 1)

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Multiple Lines

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Homogenous Equations (Method 2)

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Solving Homogenous Equations

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2D Transforms

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Homography Homography is a concept in the

mathematical science of geometry. A homography is an invertible transformation from the real projective plane to the projective plane that maps straight lines to straight lines.

Synonym: Projective transformation

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Rectification

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Homography Matrix

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Homography Estimation

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Homography Estimation

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Homography Estimation

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Homography Estimation: Minimum Requirement

8 Unknowns

4 Correspondences Sufficient to Solve.

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Applications of Homography In the field of computer vision, any two

images of the same planar surface in space are related by a homography (assuming a pinhole camera model).

This has many practical applications, such as image rectification, image registration, or computation of camera motion (rotation and translation) between two images.

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Feature Matching

or

Example Feature Detection Methods:

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Feature Matching