Ekaterina V. Tolstaya

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In this paper a method for digital image orientation recognition is proposed. Feature vectors are chosen to be flip-invariant to effectively classify images onto portrait-oriented and landscapeoriented. A new texture feature is proposed based on the observation that more textured areas are located usually in the lower part of the image. The method was(More)
In this paper we describe a new approach to shar p boundary geophy sical inversion. We demon strate that regularized inversion with a minimum support stabilizer can be implemented by using a specially designed nonl inear parametrization of the mode l parameters . Thi s parametrization plays the same role as transformation into the space of the weighted(More)
In this article we propose high quality motion estimation based on variational optical flow formulation with non-local regularization term. To improve motion in occlusion areas we introduce occlusion motion inpainting based on 3-frame motion clustering. Variational formulation of optical flow proved itself to be very successful, however a global(More)
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