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Pablo Picasso according to wikipedia ... fauvism complimentary - PowerPoint PPT Presentation

The Fauvist Works of Pablo Picasso according to wikipedia ... fauvism complimentary colours bold simplified strong heavy abstracted textured brush strokes wide visible paintings of Marie-Thrse Walter by Pablo Picasso circa 1932


  1. The Fauvist Works of Pablo Picasso

  2. according to wikipedia ... fauvism complimentary colours bold simplified strong heavy abstracted textured brush strokes wide visible

  3. paintings of Marie-Thérèse Walter by Pablo Picasso circa 1932 combination of f auvist and cubist elements the inspiration

  4. “Cubist Style Rendering from Photographs” J.P. Collomosse and P.M. Hall -general salient f eatures identified -planar f eatures distorted using vector fields -multiple perspectives achieved by use of multiple images -assemble planes using image registration previous work -painterly render

  5. contents characterization design future work

  6. shape bulbous exaggeration pinching thick black outlines simplification flowing curves circles characterization

  7. surreal colour complimentary reversed bright solid note - the artists colour wheel is red, yellow, blue ... characterization

  8. additional lines women style patterns f ew gradients not exceptionaly painterly rough canvas texture dry brush characterization

  9. design directly related to characterization three major components to consider colour shape style discover detect strokes choose texture distort components are seperable!

  10. design input image pre-process edge discovery segment eg - segmentation distortion find circles rot/scale/trans local pinch extra lines shape set of curves

  11. to find circles ... valid  allowed not circle! point set if valid ≥ allowed find center circle! valid++ C x = ∑ x i ,C y = ∑ y i N x N y ∣ r − k ∣ ≤ ∣ P − C ∣ ≤ ∣ r  k ∣ if find radius eg f or all points P r = ∑ ∣ P − C ∣ 2 N design

  12. ini tial point set polygonal shape center point approximating circle a=50% k=15 design result *actual output

  13. design local pinch ... compute d d = ∣ ∣ C − P ∣ ∣ 2 d =   C x − P x  2  C y − P y  2 f or P, Q, & R move P if P 0 = P  t  C − P  d P ≤ d R ∧ d P ≤ d Q ∧≤ min t = 1 2  compute θ split edge Q E ={ e 0, e 1,. .. ,e n } E 0 ={ e 0, e 1,. .. ,e i ,P 0 } continue E 1 ={ P 0, e i  1 , ... ,e n } θ P R while more points = arccos   PQ ⋅  PR  no more points point set set of edges

  14. design eg Q Q Q P P P θ C C R C R R original curve point P shif ted pinched curve set local pinching ... *actual output

  15. enumerate colours remove grays ∣ B − G ∣ ≤ 30 ∧ min  B,G  R R  G ∧ R  B group by major hue ∣ R − G ∣ ≤ 30 ∧ min  R,G  B G  B ∧ G  R B  G ∧ B  R ∣ R − B ∣ ≤ 30 ∧ min  R,B  G combine colours design ∣ ∣ C 1 − C 2 ∣ ∣ 2 ≤ k B C 1  B C 2 delete B C 2 colour

  16. input paintings possible palette outputs ... design colour

  17. style draw cruves -curves associated wi th segments -controls segment colour af ter distortions re-segment paint pixels -paint flat colours -pick regions of shadow and patternize paint patterns painterly render paint black edges design -alpha blending using texturize canvas texture

  18. future work -segmentation algori thms and f eature recognition to allow characteristic distortion of specific f eatures such as eyes -3D models instead of photographs could allow f or f eature recogni tion, shadow detection and perspective distorions -extra distortions such as addi tion of extra lines, shape cutting, intelligent replication, ...

  19. WYSIWY G NPR: Drawing Strokes Directly on 3D Models Kalnins, Markosian, Meier, Kowalski, Lee, Davidson, Webb, and Hughes Cubist Style Rendering from Photographs Collomosse and Hall

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