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

机译:使用多特征融合的基于草图的3D模型形状检索

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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:当前,3D模型的应用正在变得越来越广泛,这使得有效地检索3D模型变得非常重要和至关重要。使用基于内容的方法来搜索那些3D模型而不是文本注释的方法非常重要。为此,本文提出了一种有效的基于草图的3D模型形状检索方法。该算法将3D模型的多视图渲染与2D草图进行比较,并将特征向量定义为全局特征和局部特征的组合。我们进行实验,其结果显示3D模型检索的精度显着提高。

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