Semantic image segmentation aims to partition an image into separate regions, which ideally corresponds to different real-world objects. Many segmentation algorithms have been proposed, exploiting a wide variety of im...
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The issue of recognizability of subjects in biometric identification is of particular interest to the designers of these systems. We have applied the concept of Doddington's biometric menagerie to the area of faci...
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This paper introduces a complete pipeline of imageprocessing.methods in order to analyze and track the internal structures of a composite material. As a first step, input X-ray images are denoised, enhanced, separate...
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We show that the discrimination between visually similar classes often depends on the detection of so-called 'satellite features'. These are local features which are not informative by themselves, and can only...
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This paper presents algorithms for detecting moving objects, tracking them and interpreting their relationships. The algorithms are based on color and texture analysis in HSV space for real time processing. Our goal i...
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We demonstrate a method for identifying images containing categories of animals. The images we classify depict animals in a wide range of aspects, configurations and appearances. In addition, the images typically port...
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In this paper we focus on the estimation of the 3D Euclidean shape and motion of a non-rigid object which is moving rigidly while deforming and is observed by a perspective camera. Our method exploits the fact that it...
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We consider the problem of deriving a global interpretation of an image in terms of a small set of smooth curves. The problem is posed using a statistical model for images with multiple curves. Besides having importan...
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In this paper, we propose a fast algorithm for Principal Component Analysis (PCA) dealing with large high-dimensional data sets. A large data set is firstly divided into several small data sets. Then, the traditional ...
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