The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 163–167, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-163-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 163–167, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-163-2017

  10 May 2017

10 May 2017

ACCURACY ESTIMATION OF THE OPTICAL FLOWMETHODS IN THE IRIS STRUCTURE MOTION ANALYSIS VIA CONTROLLED DEFORMATIONS

V. V. Chigrinskiy1 and I. A. Matveev2 V. V. Chigrinskiy and I. A. Matveev
  • 1Moscow Institute of Physics and Technology, 9 Institutsky per., Dolgoprudny, Moscow, Russia
  • 2Federal Research Center ”Computer Science and Control” of RAS, 44/2 Vavilova st., Moscow, Russia

Keywords: Biometrics, Iris Structure, Computer Vision, Image Analysis, Optical Flow, Horn-Schunck Method, Lucas-Kanade Method, Accuracy Estimation

Abstract. The iris structure motion is analyzed. Extension and compression of the iris structural elements are nonlinear with respect to the pupil radius change. To reveal this nonlinearity the Lucas-Kanade, Horn-Schunck and modified Horn-Chunck optical flow methods are used. To aim is to estimate the accuracies of these methods. To solve the problem an implementation of the methods on the synthetic data is proposed. The data are obtained by applying deformations, which correspond to the certain models, to the eye images. The results of the methods implementation are compared with the used models and the accuracies are estimated on the basis of this comparison. The dataset of N eye images is used to generate the synthetic videos.