@inproceedings{4f38626b66db4d0db5910f2a1b428136,
title = "Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor",
abstract = "We propose an effective unsupervised 3D point cloud novelty detection approach, leveraging a general point cloud feature extractor and a one-class classifier. The general feature extractor consists of a graph-based autoencoder and is trained once on a point cloud dataset such as a mathematically generated fractal 3D point cloud dataset that is independent of normal/abnormal categories. The input point clouds are first converted into latent vectors by the general feature extractor, and then one-class classification is performed on the latent vectors. Compared to existing methods measuring the reconstruction error in 3D coordinate space, our approach utilizes latent representations where the shape information is condensed, which allows more direct and effective novelty detection. We confirm that our general feature extractor can extract shape features of unseen categories, eliminating the need for autoencoder re-training and reducing the computational burden. We validate the performance of our method through experiments on several subsets of the ShapeNet dataset and demonstrate that our latent-based approach outperforms the existing methods.",
keywords = "3D point cloud, Anomaly detection, Novelty detection",
author = "Shizuka Akahori and Satoshi Iizuka and Ken Mawatari and Kazuhiro Fukui",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 11th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2023 ; Conference date: 22-11-2023 Through 24-11-2023",
year = "2024",
doi = "10.1007/978-981-97-0376-0_14",
language = "English",
isbn = "9789819703753",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "182--196",
editor = "Yan, {Wei Qi} and Minh Nguyen and Parma Nand and Xuejun Li",
booktitle = "Image and Video Technology - 11th Pacific-Rim Symposium, PSIVT 2023, Proceedings",
}