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Three dimensional (3D) point clouds are typically used in computer vision and pattern recognition areas. In general, the raw point cloud has large numbers of redundant points which require excessively large storage space and lots of time for post-processing. This paper presents a synthetic point cloud simplification method to obtain computationally manageable point sets. First, a coarse-to-fine feature...
Personality is an important psychological construct accounting for individual differences in people. To reliably, validly, and efficiently recognize an individual’s personality is a worthwhile goal; however, the traditional ways of personality assessment through self-report inventories or interviews conducted by psychologists are costly and less practical in social media domains, since they need the...
A new algorithm namely moving cast shadow elimination based on luminance and texture features (MSELT) to detect moving shadows of vehicles is investigated in this paper. Different from traditional methods only performed in color space, we combine the luminance in the CIE Luv color space and texture feature to determine shadows. The proposed algorithm based on Gaussian Mixture Model (GMM) uses the...
Recently, the rule-based approach, the graph-based approach, the hint-based approach, the artificial neural networks based approach and the volume decomposition approach are the common feature recognition techniques available today. This work discusses a neural network approach for features recognition from B-rep solid modeler, which has significant effect on improving working efficiency in the product...
Recently, the rule-based approach, the graph-based approach, the hint-based approach, the artificial neural networks based approach and the volume decomposition approach are the common feature recognition techniques available today. This work discusses a neural network approach for features recognition from B-rep solid modeler, which has significant effect on improving working efficiency in the product...
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