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CS4620/5620: Lecture 36

Ray Tracing (Shading and Sampling)

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 1 (with previous instructors James/Marschner)

Announcements

• PA3A due Tuesday night

• PPA3 out

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 2 (with previous instructors James/Marschner) Shading

• Compute reflected toward • Inputs: – eye direction – light direction (for each of many ) l n – surface normal v – surface parameters (color, shininess, …)

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 3 (with previous instructors James/Marschner)

Mirror reflection

• Consider perfectly shiny surface – there isn’t only a highlight – instead there’s a reflection of other objects • Can render this using recursive tracing – to find out mirror reflection color, ask what color is seen from surface point in reflection direction – already computing reflection direction for Phong… • “Glazed” material has mirror reflection and direct

– where Lm is evaluated by tracing a new ray

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 4 (with previous instructors James/Marschner) Diffuse + mirror reflection (glazed)

(glazed material on floor)

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 5 (with previous instructors James/Marschner)

Snell’s Law

• Tells us where the refracted ray goes – a.k.a. transmission vector • Computation – ratio of sines is ratio of in-plane components – project to surface; scale by eta ratio; recompute normal- direction component – total internal reflection

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 6 (with previous instructors James/Marschner) Computing the Transmission Vector, t

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 7 (with previous instructors James/Marschner)

Computing the Transmission Vector, t

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 8 (with previous instructors James/Marschner) dielectrics

• Like a simple mirror surface, use recursive ray tracing • But we need two rays – One reflects off the surface (same as mirror ray) – The other crosses the surface (computed using Snell’s law) • Doesn’t always exist (total internal reflection) • Splitting into two rays, recursively, creates a ray tree – Very many rays are traced per viewing ray – Ways to prune the tree • Limit on ray depth • Limit on ray attenuation

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 9 (with previous instructors James/Marschner)

Whitted Ray Tracing

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 10 (with previous instructors James/Marschner) Specular reflection

• Smooth surfaces of pure materials have ideal specular reflection (said this before) – Metals (conductors) and dielectrics (insulators) behave differently • Reflectance (fraction of light reflected) depends on angle

metal dielectric

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 11 (with previous instructors James/Marschner)

Specular reflection from metal

• Reflectance does depend on angle Aluminum – but not much – safely ignored in basic rendering

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 12 (with previous instructors James/Marschner) Specular reflection from glass/water

• Dependence on angle is dramatic! Glass – about 4% at normal incidence – 100% at grazing – remaining light is transmitted • Important for Perfect transmission at Brewster’s angle proper appearance

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 13 (with previous instructors James/Marschner)

Brewster’s Angle

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 14 (with previous instructors James/Marschner) Fresnel reflection

• Black glazed sphere – reflection from glass surface – transmitted ray is discarded

Constant reflectance Fresnel reflectance

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 15 (with previous instructors James/Marschner)

Fresnel’s formulas

• They predict how much light reflects from a smooth interface between two materials – usually one material is empty space

– R is the fraction that is reflected – (1 – R) is the fraction that is transmitted

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 16 (with previous instructors James/Marschner) Schlick’s approximation

• For graphics, a quick hack to get close with less computation:

• R0 is easy to compute:

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 17 (with previous instructors James/Marschner)

Fresnel reflection [Mike & Gaain Hill Kwan | Stanford cs348 competition 2001] Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 18 (with previous instructors James/Marschner) Hmm, ... how do we render beer?

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 19 (with previous instructors James/Marschner)

Beer's Law!

Light-carrying ray I is attenuated with distance traveled x according to

Therefore, the attenuated per-channel intensity is

Evaluated on a per-channel basis, e.g., the color of white light after traveling unit distance is

)

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 20 (with previous instructors James/Marschner) Not just for beer... [Josh | Wills 2003 UCSD Rendering Competition]

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 21 (with previous instructors James/Marschner)

Shader for Transparent Objects (pp. 306-7)

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 22 (with previous instructors James/Marschner) Basic ray traced image [Glassner 89]

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 23 (with previous instructors James/Marschner)

Basic ray tracing

• Basic ray tracer: one sample for everything – one ray per pixel – one shadow ray for every point light – one reflection ray per intersection • one ray (if necessary) per intersection • Many advanced methods build on the basic ray tracing paradigm

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 24 (with previous instructors James/Marschner) Discontinuities in basic RT

• Perfectly sharp object silhouettes in image – leads to aliasing problems (stair steps) • Perfectly sharp shadow edges – everything looks like it’s in direct sun • Perfectly clear mirror reflections – reflective surfaces are all highly polished • Perfect focus at all distances – camera always has an infinitely tiny aperture • Perfectly frozen instant in time (in animation) – motion is frozen as if by strobe light

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 25 (with previous instructors James/Marschner)

Antialiasing in ray tracing

aliased image

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 26 (with previous instructors James/Marschner) Antialiasing in ray tracing

aliased image

one sample per pixel

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 27 (with previous instructors James/Marschner)

Antialiasing in ray tracing

antialiased image

four samples per pixel

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 28 (with previous instructors James/Marschner) Antialiasing in ray tracing

one sample/pixel 9 samples/pixel

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 29 (with previous instructors James/Marschner)

Details of supersampling

• For image coordinates with integer pixel centers:

// one sample per pixel // ns^2 samples per pixel for iy = 0 to (ny-1) by 1 for iy = 0 to (ny-1) by 1 for ix = 0 to (nx-1) by 1 { for ix = 0 to (nx-1) by 1 { ray = camera.getRay(ix, iy); Color sum = 0; image.set(ix, iy, trace(ray)); for dx = -(ns-1)/2 to (ns-1)/2 by 1 } for dy = -(ns-1)/2 to (ns-1)/2 by 1 { x = ix + dx / ns; y = iy + dy / ns; ray = camera.getRay(x, y); sum += trace(ray); } image.set(ix, iy, sum / (ns*ns)); }

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 30 (with previous instructors James/Marschner) Soft shadows

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 31 (with previous instructors James/Marschner)

Cause of soft shadows

point lights cast hard shadows

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 32 (with previous instructors James/Marschner) Cause of soft shadows

area lights cast soft shadows

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 33 (with previous instructors James/Marschner)

Creating soft shadows

• For area lights: use many shadow rays – and each shadow ray gets a different point on the light • Choosing samples – general principle: start with uniform in square

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 34 (with previous instructors James/Marschner) Creating soft shadows

Cornell CS4620/5620 Fall 2012 • Lecture 36 © 2012 Kavita Bala • 35 (with previous instructors James/Marschner)