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Sketch-Based 3D Model Shape Retrieval Using Multi-feature Fusion

机译:基于素描的3D模型形状检索使用多重特征融合

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At present, the application of 3D models is becoming more widely, which makes it very important and crucial to retrieve 3D model effectively. With the method based on content to search for those 3D models, rather than textual annotations, it is very important. For this purpose, this paper presented an effective sketch-based 3D model shape retrieval approach. The algorithm compares multi-view rendering of 3D models with the 2D sketch, and the feature vector is defined as a combination of global feature and local feature. We perform experiments, the results of which show a significant increase in precision for 3D model retrieval.
机译:目前,3D模型的应用变得越来越广泛,这使得有效地检索3D模型非常重要。通过基于内容的方法来搜索那些3D模型,而不是文本注释,非常重要。为此,本文介绍了一种基于草图的3D模型形状检索方法。该算法将3D模型的多视图渲染与2D草图进行了比较,并且特征向量被定义为全局功能和本地特征的组合。我们执行实验,结果为3D模型检索的精度显着增加。

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