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With the development of computer techniques, 3D model has been used more and more widely and content-based 3D model retrieval has been a hotspot in the area of multimedia information retrieval. How to extract 3D models' feature effectively is still a difficulty. Projection based 3D model feature extraction is an important kind in feature extraction, because of its robustness against noise, simplification...
How to retrieve more and more 3D models is the important point in pervasive computing. In this paper, a novel ensembling neural network (NN) - based 3D model retrieval method is proposed. Firstly, four NNs are trained by constructed learning algorithm (CLA). These four NNs are trained by using difference feature of models. And then NN assembles are employed to retrieve 3D models. The experiments show...
Images, polygonal models and point clouds are three kinds of heterogeneous cross-media resources, but they can stand for the same object. We introduce two kinds of homogeneous descriptions for them. First, we find a relation between surface moment invariants and shape distribution since they both use invariant geometric primitives. This relation can provide a way to approximate surface moment invariants...
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