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SUMMARY:FOLKI-SPIV: a novel approach for ultra-fast Stereo PIV
DTSTART:20101129T110000
DTSTAMP:20260428T025434Z
UID:f4174375a823441843b22626e026d8aef00ed6ba05835579f93fd51b
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Benjamin Leclaire\, ONERA/Département d’Aérodynamique 
 Fondamentale et Expérimentale\, Meudon\, France\nThis seminar aims at pre
 senting a new Particle Image Velocimetry (PIV) code developed at ONERA\, i
 mplemented on Graphics Processing Units (GPU)\, which yields a dense 3-com
 ponent (3C) vector field from a traditional stereo PIV image set in a typi
 cal time of 0.2 s (1000x1000 pixel images\, on an NVIDIA Tesla C2050 GPU).
  The algorithm\, called FOLKI-SPIV\, relies on a new stereo PIV paradigm. 
 The 3C displacement corresponding to a given interrogation window is calcu
 lated directly in one step\, in contrast to all existing methods\, which f
 irst calculate 2-component (2C) vectors corresponding to the images from e
 ach camera\, and then recombine them in a stereo reconstruction step. To d
 o so\, the 3C displacement search is cast as the minimization of a nonline
 ar criterion combining all camera images\, i.e. left and right cameras at 
 both time instants. The dense character of the result\, i.e. the fact that
  1 vector per pixel is obtained\, is a direct by-product of the algorithm\
 , which comes without any time overload while offering the user a convenie
 nt degree of freedom for flow characterization. It is in fact oversampling
 \, since the spatial resolution is linked to the interrogation window size
 \, as in traditional PIV algorithms. During the seminar\, I will describe 
 in detail the core principle of FOLKI-SPIV\, and show why it is particular
 ly suited to GPU implementation. The performance of the algorithm\, both i
 n terms of accuracy and computational time\, will also be assessed\, and a
  demonstration will illustrate how GPU programming may enable ultra-fast P
 IV vector field computation and flow diagnosis.
LOCATION:MEB10
STATUS:CONFIRMED
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