Computer Graphics II - current information (2015/2016)

Lecture: every MONDAY AT 14:00 in S4 room (Malá Strana)

Labs: every other MONDAY AT 15:40 (starting on 27. 2. 2017) in the SW1 lab (Rotunda)

Lecture plan

Lecture #1 (20. 2. 2017)

Introduction, literature, shading and ray-tracing revisited

Course content, additional sources, ray-tracing basics

Lecture #2 (27. 2. 2017)

Shading, reflectance models

Phong shading model, shading interpolation, general BRDF concepts

Lab #1 (27. 2. 2017)

Credit system, tasks, programming environment (C# environment, SVN repository grcis, MS Visual Studio), GrCis repository, ray-tracing example: 048rtmontecarlo.
Ray-based renderer architecture I (interfaces and core classes: RayScene, IIntersectable, IImageFunction, IRenderer, ISolid, ..)
Ray-tracing in GrCis (PDF slides)

Lecture #3 (6. 3. 2017)

Reflectance models

Microfacet models: Cook-Torrance, Oren-Nayar, looking for better microfacet distributions D(h) and geometric factors G

Lecture #4 (13. 3. 2013)

Shadow casting, ray-scene intersections

Shadow maps, shadow buffer, volumetric shadows.
Ray-scene intersection basics: planar shapes, convex polyedr, implicit and algebraic surfaces, general and rotational quadrics, sphere (geometric solution), toroid, sorface of revolution, CSG representation.

Lab #2 (13. 3. 2017)

Ray-based renderer architecture II (Intersection, ISolid, IReflectanceModel, IMaterial)

Task 022: 360°/180° panoramic camera

Lecture #5 (20. 3. 2017)

Speedup techniques for R-T

Spline surfaces, Bezier surfaces: subdivision, Newtonian iteration. Classification of speedup techniques, bounding solid, bounding efficiency, bounding-volume-hierarchy (BVH), efficiency and construction, space dividing methods: grid, 3DDDA, octree, KD-tree, subdivision approaches, adaptive tree pass. [Directional speedup techniques, cube directory, light buffer, ray coherency, projection plane directory, generalized rays]

Lecture #6 (27. 3. 2017)

Textures and noise functions

Textures in ray-tracing - 2D and 3D textures, table (bitmap) vs. procedural texture, table interpolations. "Bump-texture" (normal map), stochastic textures - introduction, synthetic noise functions (white noise, interpolation and convolution methods), Perlin noise, Lewis sparse convolution, turbulence, application of noise functions in texture synthesis: wood, marble. More applications of noise functions (water surface simulation, flame simulation).

Lab #3 (27. 3. 2017)

Reflectance models and materials revisited (IReflectanceModel, IMaterial), Weidlich & Wilkie: Arbitrarily layered microfacet surfaces.

Task 021: Layered reflectance model Weidlich-Wilkie

Lecture #7 (3. 4. 2017)

Anti-aliasing and sampling

Basics of sampling theory, anti-aliasing in R-T context, spatial/temporal alias, Anti-aliasing by numeric quadrature, sampling method survey (regular, random sampling, jittering, "N-rooks" sampling, Poisson disc sampling, Mitchell's algorithm, deterministic algorithms), adaptive sampling, supersampling criteria, practical examples

Lecture #8 (10. 4. 2017)

Monte-Carlo in Ray-tracing

Distributed ray-tracing: glossy reflections and refractions, soft shadows, depth-of-foeld simulation, motion blur, light dispersion. Monte-Carlo quadrature, examples.

Lab #4 (10. 4. 2017)

RT scene animation, ITimeDependent, AnimatedRayScene, 046cameranim, etc. How to encode video from individual frames.

Task 062: RT animation with panoramic camera
Task 089: Efficient Sphereflake implementation

Lecture #9 (24. 4. 2017)

Introduction to radiometry, radiosity

Basic radiometric terms, flux, radiance, irradiance, radiometrické pojmy: vyzařovaný výkon, tok výkonu (radiosita), radiance, iradiance, solid angles, BRDF, Kajiya's rendering equation. Problem discretization (FEM), system of linear equations for radiosity. Form-factor computation, solving linear system..

Lab #5 (24. 4. 2017)

Distributed RT examples (JaGrLib, GrCis - 049distributedrt, area light source). Internal sampling (controlled by anti-aliasing): "rank" and "total". Texture implementation (ITexture).

Task 097: Orange peel

Lecture #10 (15. 5. 2017)

Modern rendering approaches - Monte Carlo

General Monte Carlo: introduction, primary, secondary estimate, variance, stratified sampling, importance sampling, combined estimators, random walks, Russian roulette, next-event estimation, ..

Lecture #11 (22. 5. 2017)

Monte-Carlo rendering II

Handed in animations. Rendering equation (Kajiya), bidirectional path-tracing, examples. [Duality in rendering theory, dual radiosity example] Photon-mapping.

Lab #6 (22. 5. 2017)

Radiosity example (JaGrLib)?

Task 064: Motion blur
Task 047: Demo-supplements for RT

Copyright (C) 2001-2017 J.Pelikán, last change: 2017-05-22 12:40:20 +0200 (Mon, 22 May 2017)