Semi-supervised active learning hypothesis verification for improved geometric expression in three-dimensional object recognition
文献类型:期刊论文
作者 | Z. Wang, R. Xu, T. Nie and D. Xu |
刊名 | Engineering Applications of Artificial Intelligence
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出版日期 | 2023 |
卷号 | 120 |
ISSN号 | 09521976 |
DOI | 10.1016/j.engappai.2023.105956 |
英文摘要 | Efficient three-dimensional (3D) object recognition plays an important role in the 3D reconstruction of light-field displays. However, presently, the error rate of 3D implicit shape object recognition remains high, because the local features are sparse in the geometric expression of 3D reconstruction. To address this issue, a hypothesis verification method based on semi-supervised active learning-based K-means++ combined with 3D feature extraction is proposed. The proposed approach consists of the offline and online phases. The algorithm time complexity is O(n) and O(n2), respectively. The offline phase includes keypoint detection, normal estimation, fast point feature histograms (FPFH) descriptor extraction, geometric word weight saving, and indexing structure construction. In addition to the FPFH extraction, the online phase includes nearest geometric word searching, corresponding direction and center voting, and non-maximum suppression. Comparative experiments were conducted in which the models and scenes were tested on the 3D datasets Mian and Tosca that is high-resolution. The experimental results demonstrate that the proposed method resolves the low recognition rate problem of 3D implicit objects, with the highest 3D intersection over union (IoU) reaching 88.89%. © 2023 Elsevier Ltd |
URL标识 | 查看原文 |
源URL | [http://ir.ciomp.ac.cn/handle/181722/68004] ![]() |
专题 | 中国科学院长春光学精密机械与物理研究所 |
推荐引用方式 GB/T 7714 | Z. Wang, R. Xu, T. Nie and D. Xu. Semi-supervised active learning hypothesis verification for improved geometric expression in three-dimensional object recognition[J]. Engineering Applications of Artificial Intelligence,2023,120. |
APA | Z. Wang, R. Xu, T. Nie and D. Xu.(2023).Semi-supervised active learning hypothesis verification for improved geometric expression in three-dimensional object recognition.Engineering Applications of Artificial Intelligence,120. |
MLA | Z. Wang, R. Xu, T. Nie and D. Xu."Semi-supervised active learning hypothesis verification for improved geometric expression in three-dimensional object recognition".Engineering Applications of Artificial Intelligence 120(2023). |
入库方式: OAI收割
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