The dual irregular pyramid combines the advantage of adaptivity with a limited computational complexity of neighborhood operations. The levels of the pyramid, dual graphs, are defined only if (hey are planar. We prove...
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We study the task of interactive semantic labeling of a segmentation hierarchy. To this end we propose a framework interleaving two components: an automatic labeling step, based on a Conditional Random Field whose dep...
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It is a challenging task to develop an effective and robust visual tracking method due to factors such as pose variation, illumination change, occlusion, and motion blur. In this paper, a novel tracking algorithm base...
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This paper presents an application of 3D-reconstruction and graph theory in the field of archaeology. The classification and reconstruction of ancient pots and vessels out of fragments (so-called sherds) is an importa...
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This paper presents an application of 3D-reconstruction and graph theory in the field of archaeology. The classification and reconstruction of ancient pots and vessels out of fragments (so-called sherds) is an important aspect of archaeological research work. Up to now this is a time consuming, inaccurate, and subjective task which leads to tons of unclassified fragments in archives. Computer aided classification could help to get a better understanding of ancient cultures, since all data of an excavation would be accessible to the public, not only- selected parts as it is now. We propose a bottom-up strategy to classify fragments. The profile section (which is a section a the fragment in the direction of the rotational axis) is segmented into its primitives (with certain properties like length) and relations among this primitives (like position and curvature of connecting points). These primitives and the relations form a description language, different profiles have different descriptions.
Registration of point clouds is required in the processing of large biological data sets. The tradeoff between computation time and accuracy of the registration is the main challenge in this task. We present a novel m...
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The Multiple Signal Classification (MUSIC) method is a typical method for high-resolution Direction Of Arrival(DOA) estimation. Usually it performs spectrum search in certain grid space, which inevitably leads to high...
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A new Fuzzy ART neural network model based on dual competition and resonance technique is proposed. This new model takes the competition and resonance method of the input nodes into the output nodes, putting the input...
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The structural component of a computer vision model expresses qualitative image and scene properties. In our approach a hierarchy of plane graphs forms the structure to represent a variety of different levels of abstr...
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This paper presents a novel approach for point target detection of sea-clutter SAR images. Traditional methods for this application can be classified into two aspects: threshold segmentation based on intensity differe...
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This paper presents a novel approach for point target detection of sea-clutter SAR images. Traditional methods for this application can be classified into two aspects: threshold segmentation based on intensity difference and target extraction based on suitable denoising. However, they appear to be not effective enough especially when sea clutter is strong. Taking advantage of the essentials of both methods, a effective approach using space separation is developed based on fractal theory and independent component analysis. First, pointwise Holder exponent are computed and binary-fuzzy processing is used for enhancement;then, basis images and independent components of the processed image are respectively obtained by ICA technique. After that, according to separation criterion, the original space is separated into two subspaces called clean-space and noise-space with respective independent components and corresponding basis images. Finally, the recovery image is obtained after enhancing the independent components in clean-space. As the results show, the proposed method is validated and point target is extracted more efficiently compared with conventional ones.
The Multiple Signal Classification (MUSIC) method is a typical method for high-resolution Direction Of Arrival(DOA) and frequency estimation. Usually it performs spectrum search in certain grid space, which inevitably...
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