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{-# LANGUAGE AllowAmbiguousTypes #-}
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{-# LANGUAGE DeriveGeneric #-}
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{-# LANGUAGE DeriveTraversable #-}
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{-# LANGUAGE DerivingStrategies #-}
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{-# LANGUAGE FlexibleInstances #-}
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{-# LANGUAGE MultiParamTypeClasses #-}
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{-# LANGUAGE RecordWildCards #-}
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{-# LANGUAGE ScopedTypeVariables #-}
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{-# LANGUAGE TypeApplications #-}
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{-# LANGUAGE UndecidableInstances #-}
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2020-08-04 06:15:06 +00:00
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module Math.Bezier.Cubic
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( Bezier(..)
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, bezier, bezier'
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2020-08-10 14:38:27 +00:00
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, subdivide
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2020-08-23 22:40:16 +00:00
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, ddist, closestPoint
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2020-08-04 06:15:06 +00:00
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)
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where
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-- base
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2020-08-12 20:43:47 +00:00
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import Data.List.NonEmpty
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( NonEmpty(..) )
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2020-08-13 22:47:10 +00:00
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import Data.Semigroup
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( ArgMin, Min(..), Arg(..) )
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2020-08-04 06:15:06 +00:00
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import GHC.Generics
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( Generic )
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-- acts
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import Data.Act
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2020-08-05 20:23:16 +00:00
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( Torsor
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2020-08-04 06:15:06 +00:00
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( (-->) )
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)
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-- MetaBrush
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2020-08-12 20:43:47 +00:00
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import qualified Math.Bezier.Quadratic as Quadratic
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( Bezier(Bezier), bezier )
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2020-08-04 06:15:06 +00:00
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import Math.Module
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( Module (..)
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, lerp
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2020-08-12 20:43:47 +00:00
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, Inner(..), squaredNorm
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2020-08-04 06:15:06 +00:00
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)
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2020-08-23 22:40:16 +00:00
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import Math.Roots
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( realRoots )
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2020-08-04 06:15:06 +00:00
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--------------------------------------------------------------------------------
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2020-08-23 22:40:16 +00:00
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-- | Points defining a cubic Bézier curve (Bernstein form).
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2020-08-04 06:15:06 +00:00
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--
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-- @ p0 @ and @ p3 @ are endpoints, whereas @ p1 @ and @ p2 @ are control points.
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data Bezier p
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= Bezier
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2020-08-23 22:40:16 +00:00
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{ p0, p1, p2, p3 :: !p }
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2020-08-04 06:15:06 +00:00
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deriving stock ( Show, Generic, Functor, Foldable, Traversable )
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-- | Cubic Bézier curve.
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bezier :: forall v r p. ( Torsor v p, Module r v ) => Bezier p -> r -> p
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bezier ( Bezier { .. } ) t =
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lerp @v t
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2020-08-05 20:23:16 +00:00
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( Quadratic.bezier @v ( Quadratic.Bezier p0 p1 p2 ) t )
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( Quadratic.bezier @v ( Quadratic.Bezier p1 p2 p3 ) t )
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2020-08-04 06:15:06 +00:00
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-- | Derivative of cubic Bézier curve.
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bezier' :: forall v r p. ( Torsor v p, Module r v ) => Bezier p -> r -> v
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bezier' ( Bezier { .. } ) t
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= ( 3 *^ )
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$ lerp @v t
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( lerp @v t ( p0 --> p1 ) ( p1 --> p2 ) )
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( lerp @v t ( p1 --> p2 ) ( p2 --> p3 ) )
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2020-08-10 14:38:27 +00:00
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-- | Subdivide a cubic Bézier curve into two parts.
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subdivide :: forall v r p. ( Torsor v p, Module r v ) => Bezier p -> r -> ( Bezier p, Bezier p )
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subdivide ( Bezier { .. } ) t = ( Bezier p0 q1 q2 pt, Bezier pt r1 r2 p3 )
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where
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pt, s, q1, q2, r1, r2 :: p
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q1 = lerp @v t p0 p1
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s = lerp @v t p1 p2
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r2 = lerp @v t p2 p3
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q2 = lerp @v t q1 s
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r1 = lerp @v t s r2
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pt = lerp @v t q2 r1
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2020-08-12 20:43:47 +00:00
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2020-08-23 22:40:16 +00:00
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-- | Polynomial coefficients of the derivative of the distance to a cubic Bézier curve.
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ddist :: forall v r p. ( Torsor v p, Inner r v, RealFloat r ) => Bezier p -> p -> [ r ]
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ddist ( Bezier { .. } ) c = [ a0, a1, a2, a3, a4, a5 ]
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2020-08-12 20:43:47 +00:00
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where
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v, v', v'', v''' :: v
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v = c --> p0
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v' = p0 --> p1
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v'' = p1 --> p0 ^+^ p1 --> p2
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v''' = p0 --> p3 ^+^ 3 *^ ( p2 --> p1 )
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a0, a1, a2, a3, a4, a5 :: r
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a0 = v ^.^ v'
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a1 = 3 * squaredNorm v' + 2 * v ^.^ v''
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2020-08-23 22:40:16 +00:00
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a2 = 9 * v' ^.^ v'' + v ^.^ v'''
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2020-08-12 20:43:47 +00:00
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a3 = 6 * squaredNorm v'' + 4 * v' ^.^ v'''
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a4 = 5 * v'' ^.^ v'''
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a5 = squaredNorm v'''
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2020-08-23 22:40:16 +00:00
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-- | Finds the closest point to a given point on a cubic Bézier curve.
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closestPoint :: forall v r p. ( Torsor v p, Inner r v, RealFloat r ) => Bezier p -> p -> ArgMin r ( r, p )
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closestPoint pts@( Bezier { .. } ) c = pickClosest ( 0 :| 1 : roots )
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where
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roots :: [ r ]
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roots = filter ( \ r -> r > 0 && r < 1 ) ( realRoots $ ddist @v pts c )
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2020-08-13 22:47:10 +00:00
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pickClosest :: NonEmpty r -> ArgMin r ( r, p )
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2020-08-12 20:43:47 +00:00
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pickClosest ( s :| ss ) = go s q nm0 ss
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where
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q :: p
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q = bezier @v pts s
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nm0 :: r
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nm0 = squaredNorm ( c --> q :: v )
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2020-08-13 22:47:10 +00:00
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go t p nm [] = Min ( Arg nm ( t, p ) )
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2020-08-12 20:43:47 +00:00
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go t p nm ( t' : ts )
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| nm' < nm = go t' p' nm' ts
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| otherwise = go t p nm ts
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where
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p' :: p
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p' = bezier @v pts t'
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nm' :: r
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nm' = squaredNorm ( c --> p' :: v )
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