R
Radial basis functions (RBFs), facial animation
419–420
Radial symmetry voting, speed-limit-sign recognition
505–506
Radiation dose, visualization
260–261
Radiographic image simulation
algorithms, implementations, evaluations
815–822
basic problem
813–814
code testing
822–824
core methods
814–815
future work
827–828
MC for x-ray tracks
816–818
multiple-GPU CT scan simulations
818–819
performance analysis
822–827
random number generation
820–821
realistic human phantom
824–827
technical details
821–822
x-ray imaging system model
815–816
Randomly ordered lines, tomographic image reconstruction
algorithms, implementations, evaluations
684–686
backprojection
686
challenges
681–682
core methods
682–684
data structures
685
forward-projection
685–687
future work
690–691
line-projection accuracy
688–690
list-mode image reconstruction
679–681
overview
684–685
Random number generators
L’Ecuyer's multiple recursive generator MRG32k3a
232–235
Mersenne Twister MT19937
237–242
overview
231–232
parallel, photon transport
256
performance evaluation
242–245
radiographic image simulations with MC x-ray transport in CUDA
820–821
Sobol generator
235–236
Random walks, path tracing
implementation
406–408
path regeneration
404–406
processing unit utilization
403
research results
408–410
sparse warps
404
Raster operations (ROP)
algorithms, implementations, evaluations
428–433
basic problem
427–428
core method
428
fixed-size A-buffer scheme
433
future work
435
multidepth test scheme
432–433
performance evaluation
433–434
pseudocode
431
system overview
428–431
RAT
RAW hazards, Graph Cuts for computer vision
441
Ray tracing
GPU computing status
379–380
iterated function systems
265
order-independent transparency
427–428
radiographic image simulation
814
RBFs
Read process, image de-mosaicing
589–591
Real-time stereo
algorithms, implementations, evaluations
475–485
basic problem
473–474
core method
475
cross-checking
484–485
foreground vs. full image
490–493
Middlebury evaluation
486–487
multiresolution background modeling
475–478
multiresolution vs. single resolution
487–490
multiresolution stereo matching
478–479
performance evaluation
486–493
single CUDA kernel
479–485
Real-time video background subtraction, image/video processing
552–554
Real-time visualization, ABM
319–320
Reduction split, RNA folding algorithm
204–206
Regeneration phase, random walk path regeneration
407–408
Region-of-interest (ROI) image, brain connectivity reconstruction
794
Relabel operation, Graph Cuts for computer vision
global relabeling
446–447
overview
440–441
parallelization
443–444
Rendering
see also
Path regeneration
clouds example
390–391
Fractal Flames algorithm
269
GPU computing status
379–380
plants example
390–392
Required arrival times (RAT), fast circuit optimization
366
Reverse topological order traversal, gate-level task scheduling
369–370
R-factor, iterative CT reconstruction algorithms performance
701–702
Riemann sum approximation, photon transport
251
Right-hand-side (RHS) expressions, black hole simulations
106
RMS
RNA folding algorithm
algorithms, implementations, evaluations
201–206
basic problem
199
core method
200–201
future work
209
GPU implementation comparison
208
and GTfold
203
implementation comparison
208
internal loops
203
multiloops
203–208
parallelization scheme
203
recurrence equations
201–202
related algorithms
206
ROI
ROP
rsqrtf function, Barnes Hut
n
-body algorithm
85–86
RTF
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