@inproceedings{426a0f6b13f84ccea5a266da49824b8c,
title = "Point-level label-free segmentation framework for 3D point cloud semantic mining",
abstract = "3D point cloud data semantic mining plays a key role in 3D scene understanding. Although recent point cloud semantic mining methods have achieved great success, they require large amounts of expensive manual annotated data. More importantly, the lack of large-scale annotated datasets limits those approaches in many real-world applications, especially for point-level semantic mining tasks such as point cloud semantic segmentation. In this work, we propose a novel point cloud segmentation framework, called Point-level Label-free Segmentation framework (PLS), that does not require point-level annotations. In this framework, the point cloud semantic mining task is formulated as a clustering problem based on mutual information. Meanwhile, our method can directly predict clusters that correspond to the given semantic classes in a single feed-forward pass of a neural network. We apply the proposed PLS to the shape part segmentation task. Experiments on the benchmark ShapeNetPart dataset demonstrate that our method has the ability to discover clusters that match semantic classes, and it can produce comparable results with methods using incomplete labels on several categories.",
keywords = "Data mining, Semantic mining, 3D point cloud, Mutual information, Unsupervised clustering",
author = "Anan Du and Shuchao Pang and Mehmet Orgun",
year = "2023",
doi = "10.1007/978-3-031-46661-8_28",
language = "English",
isbn = "9783031466601",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "417--430",
editor = "Xiaochun Yang and Heru Suhartanto and Guoren Wang and Bin Wang and Jing Jiang and Bing Li and Huaijie Zhu and Ningning Cui",
booktitle = "Advanced Data Mining and Applications",
address = "United States",
note = "19th International Conference on Advanced Data Mining and Applications, ADMA 2023 ; Conference date: 21-08-2023 Through 23-08-2023",
}