Non-Rigid 3D Model Retrieval Based on Quadruplet Convolutional Neural Networks
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DOI: 10.1109/access.2018.2882711
Abstract: Non-rigid 3-D model retrieval is a challenging problem in 3-D shape analysis. Recently, deep learning-based 3-D feature extraction methods have been studied and have achieved better performance than the previous state-of-the-art methods. Inspired by the… read more here.
Keywords: model retrieval; rigid model; neural networks; quadruplet convolutional ... See more keywords