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An improved digital image correlation calculation in the case of substantial lighting variationSimončič, Samo ; Podržaj, PrimožIn the last decade, digital image correlation (DIC) has become the most widely used non-contact technique for measuring full-field motion and deformation in image sequences. As permanent hardware ... improvements make it possible to readily obtain digital images with higher and higher resolutions at ever-increasing frame rates, the effi- ciency of image registration methods is becoming increas- ingly important. Another aspect of this problem is the desire to improve the accuracy of these methods, which in gen- eral implies additional computational time. This problem is addressed by applying the inverse compositional Gauss- Newton (IC-GN) algorithm, which is modified to include the parametric sum of squared differences (PSSD) corre- lation criterion. However, the classical IC-GN algorithm with the sum of squared differences (SSD) correlation cri- terion cannot be used in cases in which lighting variations are of considerable importance. In this paper, a solution to this disadvantage is presented. The lighting variation is directly included in the IC-GN minimization procedure, which reduces the additional calculation time. Moreover, this IC-GN algorithm does not need to re-evaluate and invert the Hessian matrix. This results in a more computa- tionally efficient algorithm. Experimental results show that the proposed algorithm is insensitive to the linear intensity variation in the target image; consequently, it has a faster convergence rate than the IC-GN algorithm with the zero- mean normalized sum of squared differences (ZNSSD) correlation criterion. As a result, computational time can be reduced by up to 30% in the case of convergence condition [ ] = 0 . 001. Owing to the above mentioned advantages of the proposed IC-GN algorithm, it could become a new standard for efficient and robust full-field displacement tracking in image sequences with varying lighting intensity.Source: Experimental mechanics. - ISSN 0014-4851 (Vol. 57, iss. 5, Jun. 2017, str. 743-753)Type of material - article, component part ; adult, seriousPublish date - 2017Language - englishCOBISS.SI-ID - 15493147
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Simončič, Samo | 31562 |
Podržaj, Primož | 17059 |
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