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

pablo picasso
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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


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SLIDE 1

Pablo Picasso

The Fauvist Works of

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SLIDE 2

fauvism

strong

brush strokes

complimentary

colours

bold wide heavy visible textured

simplified abstracted

according to wikipedia ...

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SLIDE 3

the inspiration

paintings of Marie-Thérèse Walter by Pablo Picasso circa 1932

combination of f auvist and cubist elements

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SLIDE 4

previous work

“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
  • painterly render
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SLIDE 5

characterization design future work

contents

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SLIDE 6

characterization

shape

flowing curves bulbous exaggeration pinching thick black outlines simplification circles

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SLIDE 7

characterization

colour

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

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SLIDE 8

characterization

style

women patterns f ew gradients not exceptionaly painterly rough canvas texture dry brush additional lines

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SLIDE 9

design

directly related to characterization three major components to consider shape

detect distort

colour

discover choose

style

strokes texture

components are seperable!

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SLIDE 10

design

pre-process segment

edge discovery

set of curves

shape

distortion find circles local pinch

rot/scale/trans

extra lines eg - segmentation input image

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SLIDE 11

design

to find circles ...

find center

C x=∑ xi Nx ,C y=∑ yi Ny

find radius

r=∑∣P−C∣

2

N

if f

  • r all points P

valid++

∣r −k∣≤∣P−C∣≤∣rk∣

if circle! not circle!

validallowed valid≥allowed

point set

eg

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SLIDE 12

design

ini tial point set polygonal shape

center point

result

approximating circle a=50% k=15 *actual output

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SLIDE 13

point set

compute θ

=arccos  PQ⋅  PR

θ P Q R compute d f

  • r P, Q, & R

d=∣ ∣C−P∣ ∣

2

d=C x−Px

2Cy−P y 2

if move P

P0=Pt C−P t= 1 2

split edge

E={e0,e1,... ,en} E0={e0,e1,... ,ei ,P0} E1={P0,ei1,...,en}

continue while more points

dP≤dR∧d P≤d Q∧≤min

set of edges no more points

design

local pinch ...

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SLIDE 14
  • riginal curve

point P shif ted pinched curve set P P P C C C Q R Q Q R R θ

design

eg

local pinching ...

*actual output

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SLIDE 15

design

colour

enumerate colours group by major hue

RG∧RB GB∧GR BG∧BR ∣B−G∣≤30∧minB,GR ∣R−G∣≤30∧minR,GB ∣R−B∣≤30∧minR,BG

remove grays combine colours

∣ ∣C1−C2∣ ∣2≤k

BC1BC2 delete BC2

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SLIDE 16

input paintings possible palette outputs ...

design

colour

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SLIDE 17

draw cruves re-segment

  • curves associated wi

th segments

  • controls segment colour af

ter distortions

paint pixels paint patterns painterly render

paint black edges texturize

  • paint flat colours

design

  • pick regions of shadow and patternize
  • alpha blending using

canvas texture

style

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SLIDE 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
  • r

f eature recogni tion, shadow detection and perspective distorions

  • extra distortions such as addi

tion of extra lines, shape cutting, intelligent replication, ...

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SLIDE 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