Title | ||
---|---|---|
DeepPoint3D: Learning Discriminative Local Descriptors using Deep Metric Learning on 3D Point Clouds. |
Abstract | ||
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•We learn a 3D descriptor encoding the local neighbourhood of a 3D point by directly processing unstructured 3D point clouds.•We propose and evaluate three siamese-style deep architectures to learn such encodings from raw 3D point clouds.•We propose a novel multi margin contrastive loss to enhance learning by exploiting extent of variation in the training data.•We outperform the state-of-the-art methods by ∼3−5% on various metrics for both high and low resolution data.•We demonstrate the generalization ability of our method by achieving state-of-the-art results on various applications. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.patrec.2019.02.027 | Pattern Recognition Letters |
Keywords | Field | DocType |
41A05,41A10,65D05,65D17 | Pattern recognition,Convolutional neural network,Permutation,Image based,RGB color model,Invariant (mathematics),Artificial intelligence,Intermediate language,Point cloud,Discriminative model,Mathematics | Journal |
Volume | ISSN | Citations |
127 | 0167-8655 | 1 |
PageRank | References | Authors |
0.37 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Siddharth Srivastava | 1 | 9 | 5.89 |
Brejesh Lall | 2 | 85 | 43.42 |