Glossy ComputationincomingWhen computing glossy reflection, let Iin, be the intensity of the itlight ray, let dį be its incoming direction, and let reflected(Iin,i, d¿) be theintensity of that light ray after glossy reflection.Averaging over the reflected light from all incoming light rays, we could computeIout-NNi=1reflected(Iin,i, di) (Method 1)or we could average over the intensities and over the directions first, to computeIout = reflected(Ni=1lin,i,NNi=1(d;) (Method 2). For efficient computer implementations of each method, which statement below istrue?The two methods produce the same answer. Method 1 is more efficient.The two methods produce the same answer. Method 2 is more efficient.The two methods produce different answers. Method 1 is more efficient.The two methods produce different answers. Method 2 is more efficient.

Glossy computation is a subject that belongs to computer graphics that describes the method of…

Glossy Computation th When computing glossy reflection, let Iin, be the intensity of the ¿¹ incoming light ray, let dį be its incoming direction, and let reflected(Iin,i, dį) be the intensity of that light ray after glossy reflection. Averaging over the reflected light from all incoming light rays, we could compute Lout N NΣreflected(Iin,i, di) (Method 1) i=1 or we could average over the intensities and over the directions first, to compute N Iout = reflected( + Σ Iin,i, N i=1 1 N N Σdi) (Method 2). i=1

Glossy Computation th When computing glossy reflection, let Iin, be the intensity of the ¿¹ incoming light ray, let dį be its incoming direction, and let reflected(Iin,i, dį) be the intensity of that light ray after glossy reflection. Averaging over the reflected light from all incoming light rays, we could compute Lout N NΣreflected(Iin,i, di) (Method 1) i=1 or we could average over the intensities and over the directions first, to compute N Iout = reflected( + Σ Iin,i, N i=1 1 N N Σdi) (Method 2). i=1

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Related questions

Q: Im trying to code a program that solves the schrodinger equation. For the region inside the well i…

A: Answer The parity of a wavefunction is determined by its behavior at the origin, regardless of the…

Q: Consider a right angle triangle with side lengths a and a², where the hypotenuse can be calculated…

A: The required MATLAB code is: c = sqrt(a^2+a^4); sum = 0; for a = 35:150 if c > 250 sum…

Q: The voltage Ve(t) (in V) and the current i(t) (in Amp) t seconds after closing the switch in the…

A: Here, I have to provide a Matlab code to the above question.

Q: As we showed, the horizontal displacements ξi of masses i = 1 . . . N satisfy equations of mo- tion…

A: # Python program to implement Runge Kutta method # A sample differential equation "dy / dx = (x -…

Q: 1. Newton Raphson Find the root of the equation from the equation f(x) below by using Newton Raphson…

A: Step 1: Define function f(x) that determines the value of 2×x4+3×x3+1. Step 2: Define function…

Q: Given two squares on a two-dimensional plane, find a line that would cut these two squares in half.…

A: Before we begin, we should define what this problem implies by a "line:" Is a slope and y-intercept…

Q: Prove that the following shows LHS = RHS : (+ 2 1 ) = 3 Given: 1=λf.λy.f y 2=λf.λy.f(f y)…

A: Hello student Greetings Hope you are doing great. Thank you!!!

Q: 0.10 units and direction of the resultant force F₁+F₂. units magnitude direction counterclockwise…

Q: 2. The gamma function generalizes the factorial, and is defined by T(x) = √°² t=² 0 tx-¹e-¹ dt, x>…

A: CODEclear x = [1,2,3,4,5];y = [1,1,2,6,24]; x_range = min(x):0.01:max(x); fit_poly =…

Q: The density of an object is 2 g/cm3. To convert this to kg/m3, we need to divide it by 1000 to…

A: 1000g(100cm)3 = 1 kg1m3 Using the above formula to convert g/cm3 to kg/m3 we will first devide the…

Q: A uniform plank of length 2.00 m and mass 25.5 kg is supported by three ropes, as indicated by the…

A: Given: Mass of uniform plank = m = 25.50 kg Length of plank = L = 2.00 m, Distance of man from…

Question

Glossy Computation
incoming
When computing glossy reflection, let Iin, be the intensity of the it
light ray, let dį be its incoming direction, and let reflected(Iin,i, d¿) be the
intensity of that light ray after glossy reflection.
Averaging over the reflected light from all incoming light rays, we could compute
Iout
-
N
N
i=1
reflected(Iin,i, di) (Method 1)
or we could average over the intensities and over the directions first, to compute
Iout = reflected(
N
i=1
lin,i,
N
N
i=1
(d;) (Method 2).

For efficient computer implementations of each method, which statement below is
true?
The two methods produce the same answer. Method 1 is more efficient.
The two methods produce the same answer. Method 2 is more efficient.
The two methods produce different answers. Method 1 is more efficient.
The two methods produce different answers. Method 2 is more efficient.

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step 3

VIEW

Step by step

Solved in 3 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.

Similar questions

Please explain how that is simplified to Y=A, using Karnaugh Maps with 1 and 0 not the other solution that was just submitted
} The resonant frequency f(in Hz)for the circuit is given by: f =- LC Ric-L Given L=0.2 H, C=2×106F. make the following plots: a) fversus R2 for 500 < R2 < 2000. given R1=1500 b) fversus R1 for 500 < Ri < 2000. given R2=1500 1 R c-L
Given vectors :u = (5,2) ; v = (-2,5) w = (0,3) ; q = (10,4)4.1 Calculate the following dot products:u.v ; (u.v).w ; u.(3w) , u.(w-v)4.2 Calculate‖?‖ ; d(u,v) ; ‖? − ?‖24.3 u and v are they orthogonal4.4 u and w are they orthogonal4.5 find c real number that satisfy q = c.u4.6 Deduce that q and u are parallel4.7 Normalize vector w
A vertical photograph taken from a camera has calibrated focal length f153.206 mm contains an image point "a" of object point A at coordinates x=64.969 mm. y =-78.526 mm relative to the fiducial axes, Calibration sheet shoWS x = 0.247 mm and y= 0.238 mm as calibrated coordinates of principal point. Also, lists the radial lens distortion coefficients K1 2.99778547 x10-08 mm-2 K2-3.15091119 x10A-12 mm-4: K3 H 6.05776623 x10-17 mm-6. Compute the corrected coordinates for the image point "a"
Using python or matlab to compute this.
Using Matlab, code the following:The paper cup has Radius R2 = l.5(R1), height (h), volume V = 716 cm3 ,and surface area (S). The height, volume, and surface area of the cup are given by: V =πh(R1^2+R2^2+R1R2)/3 S = π R1^2+ π (R1+R2)√(R2 − R1)^2 + h^2 Determine R1, R2, and S of the paper cups with heights h = 8, 10, 12, 14, and 16 cm. • Method 1: Simulate Equations without using a for loop. • Method 2: Simulate Equations using a for loop. Display results to the screen tabulated Hint: You may need to transpose the vectors before printing to the screen.
Q2. Given, F(w,x,y,z) = II M(0,4,8,12) ; (here M means Maxterms) a) Complete the truth table for F W X F 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 b) Write the minimum expression of F
Recall that the dot product of two vectors (1d matrices) produces a scalar value. The dot product is slightly confusing as the scalar value produced can have an arbitrary meaning that simply represents the mathematical operations of multiplying and summing. In other words, the dot product can simply represent the linear projection of vector onto the number line. This interpretation will be used repeatedly throughout machine learning as our main goal will be to take some features dotted with some weights/parameters. Once again, this can be though of as projecting our features onto a number line where the projection acts as our prediction! Keep this idea in mind as it might not make complete sense as of yet. It also important to know that the dot product can additionally take on other meanings such as a geometric meaning which represents how similar any two vectors are when projected onto one another. Meaning, how much one vector points in the direction of another. Given the following…
Write the 2D rotation matrix that rotates by 90 degrees clockwise.