Download e-book for kindle: An Introduction to Ray Tracing (The Morgan Kaufmann Series by Eric Haines

By Eric Haines

ISBN-10: 0122861604

ISBN-13: 9780122861604

The production of ever extra practical 3D photos is vital to the improvement of special effects. The ray tracing strategy has develop into probably the most renowned and robust skill in which photo-realistic photographs can now be created. The simplicity, splendor and straightforwardness of implementation makes ray tracing an important a part of realizing and exploiting state of the art laptop graphics.
An advent to Ray Tracing develops from basic rules to complicated functions, delivering "how-to" tactics in addition to a close knowing of the clinical foundations of ray tracing. it's also richly illustrated with four-color and black-and-white plates. it is a booklet on the way to be welcomed via all fascinated about glossy special effects, picture processing, and computer-aided design.

  • Provides sensible "how-to" information
  • Contains top of the range colour plates of pictures created utilizing ray tracing techniques
  • Progresses from a easy knowing to the complicated technology and alertness of ray tracing

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Extra info for An Introduction to Ray Tracing (The Morgan Kaufmann Series in Computer Graphics)

Sample text

092 2 - 4 * 35 > 0? Yes, 3 1 . 400 > 0 . This means the ray intersects the sphere . From this we can calculate to from (A6) : * C) (B2 -B ---' - J'-'-- 4to = ----'2 1 3 . 092 - J(3 1 . 400) 2 = 3 . 744 Since to is positive , we don't have to calculate t1. The actual intersection point Eric Haines 39 is, by (A7 ) : r; = [Xo + Xd * t Yo + Yd * t Zo + Zd * t] [ 1 + 0 . 2 1 8 * 3 . 436 * 3. 744 [ 1 . 368 2 . 269] . 873 * 3. 744] The unit vector normal is, by (AS) : [ ( 1 . 368 - 0)/3 (2. 269 - 5)/3] [ - 0.

We can use stochastic sample points within each pixel to help reduce spatial aliasing. 28 An O vervie w o f Ra y Tracing fact , our random selections can be carefully guided to help us obtain a good answer with a small number of samples. The techniques of stochastic raY' tracing lead to a variety of new effects that the deterministic ray tracing algorithms described above don't handle well or at all . For example, stochastic ray tracing helps us get motion blur, depth offield, and soft edges on our shadows (known as the penumbra region).

The point here is that studying the nature of the problem can yield algorithmic speed-ups. The algebraic solution was straightforward , but it was aimed at solving the general problem of fmding the intersection points of a line 46 Essential Ray Tracing Algorithms and a sphere . The geometric approach homed in on the special characteristics of the ray (i. e . e. that only the closest intersection point is required). 4 Precision Problems Doing floating-point calculations is like moving piles of sand around.

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An Introduction to Ray Tracing (The Morgan Kaufmann Series in Computer Graphics) by Eric Haines


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