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|B-Phot Authors||Jurgen Van Erps, Hugo Thienpont|
S. Tomczewski, A. Pakula, J. Van Erps, H. Thienpont, and L. Salbut, “Low-coherence interferometry with polynomial interpolation on compute unified device architecture-enabled graphics processing units,” OPTICAL ENGINEERING, vol. 52, no. 9, p. 094105, 2013.
|Abstract||An algorithm for interpolation of central fringe position in lowcoherence interferometry measurements is presented. The algorithm is based on a polynomial curve fitting. Fast calculation of interpolation is possible due to the use of an NVIDIA Compute Unified Device Architecture (CUDA) technology, which allows independent analysis of different points of a high-resolution detector matrix on separate cores of a graphics processing unit (GPU). The dependency of the method's accuracy on the spectral width of the light source is checked. The computation times on a GPU are compared with those achieved with a multicore central processing unit, showing nearly 30 times faster calculations when using CUDA technology. The algorithm accuracy is tested by measuring a flat glass surface with two different cameras-an ordinary CCD camera and a cooled EMCCD camera. Finally, the algorithm is applied to measurements of a populated optical fiber connector array prototyped using deep proton writing technology. (C) 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)|