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CS 563 Advanced Topics in Computer Graphics



Texture Sampling & antialiasing - Basic Texturing (Ch. 8)

Physically Based Rendering







Travis Grant

grant_travis@emc.com

Outline







 Texture Space Sampling Rate

 Aliasing associated with Texture

 Refracted and Reflected Rays

 Texture Coordinate Generation

 Texture Interface and basic textures







grant_travis@emc.com :: Slide 2

p. 496 Fig. 11.5 (a) ./images/11F05A.png









Grid texture on sphere w/ 1 sample per pixel

grant_travis@emc.com :: Slide 3

Two Core Challenges for

removing Texture Aliasing

 Sampling Rate

 Must be computed in Texture space as opposed

to screen space

 Must determine rate which the texture function is

being sampled



 Sampling Theory

 Given the sampling rate we need to remove

excess frequencies beyond the Nyquist limit from

the texture function







grant_travis@emc.com :: Slide 4

Texture Sampling Rate

(s(t) )

,s,t

(u0,v0)



(x0,y0) (u,v) texture space





(x,y)



object space

(u1,v 1)



image space

( x1 , y 1 )



PBRT Texture coordinates are (S,T):

- Commonly used industry Apps often use (u,v)

- PBRT uses (u,v) as a shapes “parametric description” coordinates

p=f(u,v) = p(x,y)

- Where p(x,y) is the Worldspace intersection point p. 488 Fig. 11.2 :: Slide 5

Simple Example:

Finding Texture Sampling Rate







Image Space, Object Space &

Texture Space perfectly aligned





s=Px t=Py

x y

s t

xr yr



thus given a sample spacing of 1 pixel in

the image plane the sample spacing in

(s,t) texture space is (1/xr, 1/yr)









grant_travis@emc.com :: Slide 6

Simple Example:

Finding Texture Sampling

Rate



f f

Image Space, Object Space & f ( x' , y ' )  f ( x, y )  ( x' x)  ( y ' y )

Texture Space perfectly aligned x y



s 1 t

 0

x xr x

s t 1

0 

y y yr









grant_travis@emc.com :: Slide 7

Daylon Leveller Tutorial Texture Aliasing









- The previous example was purposely kept overly simple:

- The following realities all lend to more complex but common

scenarios:

Object Visibility

Object Shape

Perspective

Shadowing

Texture Frequency Variance

Daylon Leveller Tutorial :: Slide 8

Texture Sampling Rate

(s,t)







(u,v) p

x

from image space to world space -> p(x,y) p

(x,y)

y





u u

x y

to parametric coordinates -> u(x,y),v(x,y)

v v

x y









p. 488 Fig. 11.2 :: Slide 9

Estimating Partial

Derivatives







ry rx

n









p px

py







p. 491 Fig. 11.3 :: Slide 10

ryrx

n Estimating Partial

Derivatives





p px

py





ax by  cz  d  0 equation 1

a  nx a  ny a  nz d  (n  p)



 (( a, b, c)  0)  d

t

(a, b, c)  d

equation 2









p p

dpdx =  px  p dpdy =  py  p

x y





p. 491 Fig. 11.3 :: Slide 11

(u,v) parameterization









dv p’



∂p

∂v

∂p

∂u

p

du



p. 492 Fig. 11.4 :: Slide 12

(u,v) parameterization









 p x p x 

 

 p' p x   u v 

p p    p y p y  u 

p'  p   u  v  p' p y     

u v  v 

or

 p' p   u v  

 z p z p z 



 u 

 v 









grant_travis@emc.com :: Slide 13

Filtering Texture Functions







first evaluate T ( f ( x, y))





band-limit: by convolving with the sinc filter

 

Tb ' ( x, y)    sinc( x' )sinc( y' )T ' ( f ( x  x' , y  y' ))dx' dy'







convolved with the pixel filter g(x,y) centered at the point (x,y)



xWidth / 2 yWidth / 2

T f ' ( x, y )    g(x', y')T ' ( x  x' , y  y' )dx' dy'

 xWidth / 2  yWidth / 2

b









grant_travis@emc.com :: Slide 14

What did we get for our efforts?

Texture Aliasing



p. 486 Fig. 11.1 (a) ./images/11F01A.png p. 486 Fig. 11.1 (b) ./images/11F01B.png









Severe aliasing artifacts Zoom-In of sphere from left

Notice High-Frequency detail is present



grant_travis@emc.com :: Slide 16

Texture Aliasing



p. 486 Fig. 11.1 (a) ./images/11F01A.png p. 486 Fig. 11.1 (c) ./images/11F01C.png









Severe aliasing artifacts Texture function applied





grant_travis@emc.com :: Slide 17

p. 496 Fig. 11.5 (c) ./images/11F05C.png









antialiased image, even with a single sample per pixel

grant_travis@emc.com :: Slide 18

Reflected & Refracted Rays



p. 496 Fig. 11.5 (a) ./images/11F05A.png









Tracking ray differentials

Left is glass (reflection & refraction)

Right is Mirror (reflection)

grant_travis@emc.com :: Slide 19

Tracking Ray

Differentials





p. 496 Fig. 11.5 (b) ./images/11F05B.png p. 496 Fig. 11.5 (c) ./images/11F05C.png









aliasing artifacts antialiasing w/ ray differentials







grant_travis@emc.com :: Slide 20

Specular Reflection





r r’





θ

θ





θ’

θ’









p. 497 Fig. 11.6 :: Slide 21

Specular Reflection









where: wi is the reflected direction with respect to a shift of a pixel in the x and y directions

wi

w  wi 

x

wi   wo  2( wo  n)n

wi  wo  n  wo  n  

  wo  2( wo  n)n     2 wo  n   n

x x x  x x 

wo  n  wo n

  n  wo 

x x x



p. 497 Fig. 11.6 :: Slide 22

(s,t) Texture Coordinate

Generation









p. 499 Fig. 11.7 ./images/11F05A.png









(u,v) Spherical Cylindrical Planer



Different texture coordinate generation techniques

Checkerboard texture applied to a hyperboloid



grant_travis@emc.com :: Slide 23

Texture

Interfaces and Basic Texture









 Constant

 Scale

 Mix

 Bilinear

References

“Physically Based Rendering” by Gregg Humphreys & Matt Pharr

 All Images Obtained from “Physically Based Rendering” CD-ROM

 Figures recreated by tgrant from figures cited in “Physically Based Rendering”

textbook

Daylon Graphics – Leveller Documentation

 Raytracer Texturing

www.cambridgeincolour.com (Sean T. Mchugh)

 Digital Image Interpolation

“Computer Graphics: Principles & Practice” by Foley, van Dam, Feiner, Hughes

“What We Need Around Here is More Aliasing” by Blinn, J.F.

“Return of the Jaggy” by Blinn, J.F.

“The Aliasing Problem in Computer-Generated Shaded Images” by Crow, F.

“A Comparison of Antialiasing Techniques” by Crow, F.

Harvey Mudd College

HMC Tutorial on Partial Differentiation









grant_travis@emc.com :: Slide 25

Questions?

Backup Slides









grant_travis@emc.com :: Slide 27

Geometric Meaning

of Partial Derivatives

Suppose the graph of z = f(x,y)

is the surface shown.

Consider the partial

derivative of f with respect

to x at a point (x0,y0).

Holding y constant and varying

x, we trace out a curve that

is the intersection of the

surface with the vertical

plane y = y0.

The partial derivative fx(x0,y0)

measures the change in z

per unit increase in x along

this curve. That is, fx(x0,y0)

is just the slope of the curve

at (x0,y0). The geometrical

interpretation of fy(x0,y0) is

analogous.



Harvey Mudd College (see References) :: Slide 28

Blinn “What we need around here is more Aliasing” :: Slide 29

Blinn “What we need around here is more Aliasing” :: Slide 30

Blinn “What we need around here is more Aliasing” :: Slide 31

Blinn “What we need around here is more Aliasing” :: Slide 32

Aliasing Review







jaggies = staircasing = aliasing









resampled









Ideal Line on Low Resolution Grid Aliased









reproduced from cambridgeincolour.com :: Slide 33

Aliasing Review







IF (Line_Is_Inside_Pixel) = black









resampled









Ideal Line on Low Resolution Grid Aliased









reproduced from cambridgeincolour.com :: Slide 34

Aliasing Review







High Frequency Variation









resampled









Ideal Line on Low Resolution Grid Aliased









reproduced from cambridgeincolour.com :: Slide 35

Aliasing Review









resampled









Ideal Line on Low Resolution Grid Anti-Aliased









reproduced from cambridgeincolour.com :: Slide 36

Unweighted Area Sampling



Three Properties of Unweighted area sampling:

1) Intensity of the pixel intersected by a line edge decreases as the distance

between the pixel center and the edge increases

2) Non-intersected pixels are not influenced

3) Only the total amount of overlapped area matters (not weighted based on

orientation towards the center of the pixel)









resampled









Ideal Line on Low Resolution Grid Anti-Aliased









reproduced from cambridgeincolour.com :: Slide 37

Unweighted Area Sampling









Accounting for contributions of original

-> result is % of BLACK (light Gray)









resampled









Ideal Line on Low Resolution Grid Anti-Aliased









reproduced from cambridgeincolour.com :: Slide 38



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