All materials seen so far are the same everywhere.
i.e. BRDF was independent of location on surface.
We will allow BRDF to vary over a surface!
c.f. Why don't we divide the surface into lots of triangles with same BRDF?
This will make the mesh too complex.
We want to distinguish geometric complexity and material complexity.
In fact, pruning also comes from the biological system!
Number of synapses increases before 2 years old, but decreases after 2 years old.
Probably to reduce resource (a.k.a. energy) usage?
In NN, we prune small output neurons and small weight connections.
Then we train the remaining weights, and we repeat this process.
Rendering or image synthesis is the process of generating a image from a 2D or 3D model by means of a computer program.
The goal is to create images from 2D or 3D models which are not distinguisible from what we've seen in the real world.
If we can make photorealistic rendering, non-photorealistic rendering can be easily achieved.
Achieving photorealism in computer graphics requires:
Path-selection algorithms is implemented in
Network layer uses IP protocol, but ICMP protocol is also used.
ICMP is a network layer protocol that reports error between routers.
Network layer transport segment from sending to receiving host.
Sender encapsulates segments into datagrams, passes to link layer.
Receiver delivers segments to transport layer protocol.
Network layer protocols is in every internet device, including hosts and routers.
Routers examine header fields in all IP datagrams passing through it.
Then it moves datagrams from input ports to output ports to transfer datagrams along end-end path.
A predictive model is a mathematical formula used to estimate outcomes.
It predicts the result for a criterion variable (aka dependent variable) based on one ore more predictor variables. (aka independent variables)
Predictor variables should be numeric or encoded in a way that the model can use.
Ratio-scale is ideal, but ordinal and categorical predictors can be used with proper encoding.
Predictive models, like descriptive models, help us explore how users behave.
However, unlike descriptive models, predictive models deal with numbers, not just ideas or concepts.
We should determine which pixels should be turn on.
For each primitive, which pixels are light up?
Rasterization is extremely fast (billions of trangles per second on GPU!), but harder to achieve photorealism.
c.f. Ray tracing: For each pixel, which primitives are seen?
Generally slower, but easier to get photorealism!
How do we sample and reconstruct continuous 1D signal? (e.g. audio)
Denser sampling makes better reconstruction.
We can always compute the magnitude of the velocity of any given point!
We need to multiply large matrices with small systolic array.
Systolic array use tile pipelining! It keeps get next tile's input to remove idle cycles.
We use BLAS (Basic Linear Algebra Subprograms) library for matrix multiplication.