OpenCV.Calib3d

Documentation

data FundamentalMatMethod

Constructors

FM_7Point

FM_8Point

FM_Ransac !(Maybe Double) !(Maybe Double)

FM_Lmeds !(Maybe Double)

Instances

Eq FundamentalMatMethod

Methods

(==) :: FundamentalMatMethod -> FundamentalMatMethod -> Bool

(/=) :: FundamentalMatMethod -> FundamentalMatMethod -> Bool

Show FundamentalMatMethod

Methods

showsPrec :: Int -> FundamentalMatMethod -> ShowS

show :: FundamentalMatMethod -> String

showList :: [FundamentalMatMethod] -> ShowS

data FindHomographyMethod

Constructors

FindHomographyMethod_0

A regular method using all the points.

FindHomographyMethod_RANSAC

RANSAC-based robust method.

FindHomographyMethod_LMEDS

Least-Median robust method.

FindHomographyMethod_RHO

PROSAC-based robust method.

Instances

Show FindHomographyMethod

Methods

showsPrec :: Int -> FindHomographyMethod -> ShowS

show :: FindHomographyMethod -> String

showList :: [FindHomographyMethod] -> ShowS

data FindHomographyParams

Constructors

FindHomographyParams

Fields

• fhpMethod :: !FindHomographyMethod
• fhpRansacReprojThreshold :: !Double
• fhpMaxIters :: !Int
• fhpConfidence :: !Double

Instances

Show FindHomographyParams

Methods

showsPrec :: Int -> FindHomographyParams -> ShowS

show :: FindHomographyParams -> String

showList :: [FindHomographyParams] -> ShowS

Default FindHomographyParams

Methods

def :: FindHomographyParams

data WhichImage

Constructors

Image1

Image2

Instances

Eq WhichImage

Methods

(==) :: WhichImage -> WhichImage -> Bool

(/=) :: WhichImage -> WhichImage -> Bool

Show WhichImage

Methods

showsPrec :: Int -> WhichImage -> ShowS

show :: WhichImage -> String

showList :: [WhichImage] -> ShowS

findFundamentalMat

Arguments

:: IsPoint2 point2 CDouble

=> Vector (point2 CDouble)

Points from the first image.

-> Vector (point2 CDouble)

Points from the second image.

-> FundamentalMatMethod

-> CvExcept (Maybe (Mat (S '[D, S 3]) (S 1) (S Double), Mat (S '[D, D]) (S 1) (S Word8)))

Calculates a fundamental matrix from the corresponding points in two images

The minimum number of points required depends on the FundamentalMatMethod.

• FM_7Point: N == 7
• FM_8Point: N >= 8
• FM_Ransac: N >= 15
• FM_Lmeds: N >= 8

With 7 points the FM_7Point method is used, despite the given method.

With more than 7 points the FM_7Point method will be replaced by the FM_8Point method.

Between 7 and 15 points the FM_Ransac method will be replaced by the FM_Lmeds method.

With the FM_7Point method and with 7 points the result can contain up to 3 matrices, resulting in either 3, 6 or 9 rows. This is why the number of resulting rows in tagged as Dynamic. For all other methods the result always contains 3 rows.

OpenCV Sphinx doc

findHomography

Arguments

:: IsPoint2 point2 CDouble

=> Vector (point2 CDouble)

Points from the first image.

-> Vector (point2 CDouble)

Points from the second image.

-> FindHomographyParams

-> CvExcept (Maybe (Mat (S '[S 3, S 3]) (S 1) (S Double), Mat (S '[D, D]) (S 1) (S Word8)))

computeCorrespondEpilines

Arguments

:: IsPoint2 point2 CDouble

=> Vector (point2 CDouble)

Points.

-> WhichImage

Image which contains the points.

-> Mat (ShapeT '[3, 3]) (S 1) (S Double)

Fundamental matrix.

-> CvExcept (Mat (S '[D, S 1]) (S 3) (S Double))

For points in an image of a stereo pair, computes the corresponding epilines in the other image

OpenCV Sphinx doc