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GDC 2005

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Title: GDC 2005


1
Sphere Maps with the Near-Equal Solid-Angle
Property
Liang Wan Tien-Tsin Wong The Chinese
University of Hong Kong
2
Spherical Maps
  • Represent the surrounding environment
  • Applications
  • Environment mapping
  • Precomputed radiance transfer (PRT)
  • Image-based relighting
  • Spherical maps
  • Cubemap, longitude/latitude map, dual paraboloid
    map, sphere map,

3
Criteria
  • Uniform distribution
  • How uniformly the samples are distributed?
  • Equal-area property
  • Whether the texels span the same solid-angle
  • Stretch
  • Measure the mapping distortion of texel shapes
  • Query efficiency
  • Speed of querying a point in the map
  • Base face number
  • 6-face map fits nicely into the hardware

4
Cubemap
  • Properties
  • 6 base faces
  • Fast look-up
  • Hardware cubemap
  • Drawbacks
  • Not uniformly distributed
  • Not equal-area
  • Distortion at corners

5
Three Spherical Maps
Equal-area
Similar distortion
Six-face,Equal-area
6
Base Faces
6
12
Cubemap
HEALPix
12
6
Rhombic dodecahedron
Isocube
7
Sample Distribution
Uneven sampling
8
Shape Distortion
Quadrilateral
Not equal-area
Shape distortion
Similar distortion
Isocube
9
Property Summary
10
Property Summary
11
HEALPix Construction
  • Originated in astrophysics
  • Curvilinear partitioning of the sphere

12
HEALPix Mapping
01 float3 hpmap(float3 dir) 02 03 float
fn, u, v, iu, iv, x, y, z, t 04 float tt, tn,
tf, za, tmp, zone, south 06 float3 res 07 08
xdir.x ydir.z zdir.y 09 t
atan2(-y, x)/1.571 10 t step(t, 0.f)
4.0 11 za 3.0 abs(z) 12 tf
modf(t, tn) 13 // Equatorial or polar zone 15
if ( za lt 2.0 ) 16 // Equatorial zone
17 tt t 0.5 18 tmp z 0.75
19 u modf(tt tmp, iu) 20 v
modf(tt - tmp, iv) 21 fn min(iu, iv) 22
fn 4 (sign(iv-iu) - floor(fn/4))4 23
res float3(fn, u, v) 24 else 25
// Polar zone 26 tmp sqrt(3.0f - za) 27
// If in south pole zone 28 south ( z lt
0 ) 29 tt tmp tf 30 tmp 1.0 -
tmp 31 tf tmp south 32 res
float3(tn8south, tmp-tftt, tftt) 33 34
return res 35
13
HEALPix
  • Characteristics
  • Equal area
  • A hierarchical structure
  • Samples on parallel small circles
  • Facilitate spherical harmonic transform
  • Drawback
  • Texels in different base faces have different
    shapes

14
Property Summary
15
Rhombic Dodecahedron Construction
  • Great circle subdivision

16
Rhombic Dodecahedron
  • Characteristics
  • All texels are distorted similarly
  • Identical base faces
  • Geodesic property

17
HEALPix Rhombic Dodecahedron
  • Drawbacks
  • Both consist of 12 base faces
  • Tailor-made programs for texture lookup
  • Difficult for mipmap construction and tri-linear
    filtering
  • What we desire?
  • 6 faces so as to fully utilize the hardware
    cubemap
  • Retain good properties

18
Property Summary
19
Isocube Construction
  • Spherical partitioning

20
Isocube Mapping
01 float3 R2Q( float3 R ) 02 03 float2 I 04
float3 Q 05 float4 coef 06 float phi, y, ya,
bequ,quar 07 08 // Compute azimuth angle and
convert it in the range 0,4) 09 phi
2atan2(R.z, R.x)/PI 10 phi step(phi, -0.5)
4 11 12 // Decide whether the pixel is in the
equatorial region 13 y R.y 1.5 14 ya
abs(y) 15 bequ step(ya, 1.) 16 17 // Convert
R ? I 18 I.x sqrt(3 - 2ya) 19 I.x
lerp(I.x, 1, bequ) 20 I.y phi I.x 21 22
// Map I ? Q 23 quar floor(phi 0.5) 24
coef texRECT(signTBL, float2(quar, 0)) 25 Q.x
dot(coef.xy, I) 26 Q.y lerp(sign(y), y,
bequ) 27 Q.z dot(coef.zw, I) 28 29 return
Q 30
21
Isocube
  • Characteristics
  • Equal area
  • 6 faces
  • Extremely fast look-up
  • Drawback
  • Distortion in polar regions

22
Environment Mapping
HEALPix
Rhombic Dodecahedron
23
Environment Mapping
Isocube
Cubemap
24
Cubemap v.s. HEALPix
Cubemap
HEALPix
25
Cubemap v.s. Rhombic Dodecahedron
Cubemap
Rhombic Dodecahedron
26
Cubemap v.s. Isocube
Cubemap
Isocube
27
Discussions
  • Performance comparison
  • All three maps are resampled from a
    high-resolution cubemap

The timing test context object with 106,466
vertices, Pentium IV 2.6 GHz CPU, nVidia
GeForceFX 6800 Ultra.
28
Potential Applications
  • Equal-area, uniform sampling
  • OmniMax video
  • HEALPix, isocube
  • Similar distortion
  • Shadow mapping
  • HEALPix, rhombic dodecahedron
  • Hemicube
  • Cubemap, isocube

29
References
  • HEALPix
  • GÓRSKI K. M., HIVON E., WANDELT B. D. Analysis
    issues for large CMB data sets. In Proceedings of
    the MPA/ESO Conference on Evolution of
    Large-Scale Structure from Recombination to
    Garching, 1998
  • Wong T.T., Wan L., Leung C.S., and Lam P.M.,
    Real-time environment mapping with equal
    solid-angle spherical quad-map, Shader X4
    Lighting Rendering, Edited by W. Engel, Charles
    River Media, 2006
  • Wan L., Wong T.T., and Leung C.S., Spherical
    Q2tree for sampling dynamic environment
    sequences, in Proceedings of Eurographics
    Symposium on Rendering 2005 (EGSR 2005),
    Konstanz, Germany, pp. 21-30, 2005
  • Isocube
  • Wan L., Wong T.T., and Leung C.S., Isocube
    Exploiting the Cubemap Hardware, IEEE
    Transactions on Visualization and Computer
    Graphics, to appear

30
Webpage
  • The updated document can be found in the website
  • http//www.cse.cuhk.edu.hk/ttwong/papers/spherem
    ap/spheremap.html
  • The demo code is free to download from the link
  • http//www.cse.cuhk.edu.hk/ttwong/demo/spheremap
    /spheremap.html

31
Credits Acknowledgments
  • Rhombic dodecahedron is a joint work with
    Chi-Wing Fu (HKUST) and Chi-Sing Leung (CityU)
  • Isocube is a joint work with Chi-Sing Leung
    (CityU)
  • Thanks to Lai-Sze Ng and Ping-Man Lam for
    implementing part of the codes
  • Thanks to Xuemiao Xu for capturing some of the
    panoramas
  • This work is supported by Research Grants Council
    of the Hong Kong Special Administrative Region,
    under RGC Earmarked Grants (Project No.
    CUHK416806)

32
Q A
33
Discrepancy comparison
34
Stretch variance comparison
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