Safe Haskell	None
Language	Haskell2010

OpenCV.Calib3d

Synopsis

Documentation

data FundamentalMatMethod Source #

Constructors

FM_7Point
FM_8Point
FM_Ransac !(Maybe Double) !(Maybe Double)
FM_Lmeds !(Maybe Double)

Instances

Eq FundamentalMatMethod Source #
Methods (==) :: FundamentalMatMethod -> FundamentalMatMethod -> Bool # (/=) :: FundamentalMatMethod -> FundamentalMatMethod -> Bool #
Show FundamentalMatMethod Source #
Methods showsPrec :: Int -> FundamentalMatMethod -> ShowS # show :: FundamentalMatMethod -> String # showList :: [FundamentalMatMethod] -> ShowS #

data FindHomographyMethod Source #

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 Source #
Methods showsPrec :: Int -> FindHomographyMethod -> ShowS # show :: FindHomographyMethod -> String # showList :: [FindHomographyMethod] -> ShowS #

data FindHomographyParams Source #

Constructors

FindHomographyParams
Fields fhpMethod :: !FindHomographyMethod fhpRansacReprojThreshold :: !Double fhpMaxIters :: !Int fhpConfidence :: !Double

Instances

Show FindHomographyParams Source #
Methods showsPrec :: Int -> FindHomographyParams -> ShowS # show :: FindHomographyParams -> String # showList :: [FindHomographyParams] -> ShowS #
Default FindHomographyParams Source #
Methods def :: FindHomographyParams #

data WhichImage Source #

Constructors

Image1
Image2

Instances

Eq WhichImage Source #
Methods (==) :: WhichImage -> WhichImage -> Bool # (/=) :: WhichImage -> WhichImage -> Bool #
Show WhichImage Source #
Methods showsPrec :: Int -> WhichImage -> ShowS # show :: WhichImage -> String # showList :: [WhichImage] -> ShowS #

findFundamentalMat Source #

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 Source #

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 Source #

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