While the importance of representations for recognition has been widely recognized, in practice the choice of representations is often limited and applications are forced to choose relatively the best one among the av...
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This paper discusses how stereo vision achieved through the use of omnidirectional sensors can help mobile robot navigation providing advantages, in terms of both versatility and performance, with respect to the class...
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A technique is presented to combine n data points, each available with point-dependent uncertainty, when only a subset of these points come from N 蠐 n sources, where N is unknown. We detect the significant modes of t...
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A major obstacle to the broader use of 3D object reconstruction and modeling is the extent of manual intervention needed. Such interventions are currently extensive and exist throughout every phase of a 3D reconstruct...
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A wide-spread use of 3D models in archeology application requires low cost equipment and technically simple modeling procedures. In this context methods for automatic 3D modeling based on fully automatic techniques fo...
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In this paper, we describe the use of Genetic Programming (GP) techniques to learn a visual feature detection for a mobile robot navigation task. We provide experimental results across a number of different environmen...
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In this paper, we present an approach for the classification of remote sensing multispectral data, which consists of two sequential stages. The first stage exploits the capabilities of the Support Vector Machines (SVM...
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Feature weighting algorithms assign weights to features according to their relevance to a particular task. Unfortunately, the best-known feature weighting algorithm, ReliefF, is biased. It decreases the relevance of s...
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This paper deals with an absolute mobile robot self-localization algorithm in an indoor environment. Until now, localization methods based on conical omnidirectional vision sensors uniquely used radial segments from v...
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