@inproceedings{6600244fe41b4f1ead1c7a98ca978dfc,
title = "Object segmentation and recognition in 3D point cloud with language model",
abstract = "We proposed a recognition algorithm based on feature extraction and Bag-of-words with language model. Object recognition in 3D rang data of big scene has become an increasingly popular research topic in intelligent vehicle area. Firstly we introduce a fast ground filtering and clustering method and a convenient method to generation training samples. Then we proposed a feature extraction method based on 3D SIFT and FPFH to get descriptors with scale-invariant and rotationinvariant in 3D range data. Furthermore, we proposed a recognition algorithm based on bag-of-words and language model by add spatial semantic information to bag-of-words model to make up the shortcoming of ignoring the relationships between the visual words. At last, experimental results on real laser data depicting rural scenes are presented.",
keywords = "3D sift, feature extraction, object recognition, point cloud segmentation",
author = "Yi Yang and Guang Yan and Hao Zhu and Fu, \{Meng Yin\} and Wang, \{Mei Ling\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014 ; Conference date: 28-09-2014 Through 30-09-2014",
year = "2014",
month = dec,
day = "23",
doi = "10.1109/MFI.2014.6997755",
language = "English",
series = "Proceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014",
address = "United States",
}