A partial overlapping point cloud registration method based on dynamic feature matching
The point cloud registration method can effectively complete the registration of point clouds with different overlap rates and various sizes, and ensure the accuracy of the 3D reconstruction model.To address the above issues, a partial overlapping point cloud registration method based on dynamic fea...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2021-04-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021010/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841529073688379392 |
|---|---|
| author | Hui DU Changliang ZHENG Chunyu MIAO Xiaomeng ZHANG |
| author_facet | Hui DU Changliang ZHENG Chunyu MIAO Xiaomeng ZHANG |
| author_sort | Hui DU |
| collection | DOAJ |
| description | The point cloud registration method can effectively complete the registration of point clouds with different overlap rates and various sizes, and ensure the accuracy of the 3D reconstruction model.To address the above issues, a partial overlapping point cloud registration method based on dynamic feature matching named PPCR was proposed.Firstly, the point cloud was divided into sub-point clouds based on the Euclidean distance segmentation method.Secondly, the features of sub-point clouds were extracted.Since the sizes of different point clouds are varied, the scales of the extracted features are also different.Thus, a dynamic time warping (DTW) algorithm was proposed to map the sub-point clouds.Finally, the registration algorithm was iterated to obtain the translation and rotation matrix between point clouds.This matrix was used to complete the registration and stitching between point clouds.Experimental results show that the proposed method can effectively solve the registration problems of partially overlapping point clouds and point clouds with different scales. |
| format | Article |
| id | doaj-art-1d52e1f84c324b418a7e6a157fae7b45 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2021-04-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-1d52e1f84c324b418a7e6a157fae7b452025-01-15T03:26:08ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-04-01379710759807719A partial overlapping point cloud registration method based on dynamic feature matchingHui DUChangliang ZHENGChunyu MIAOXiaomeng ZHANGThe point cloud registration method can effectively complete the registration of point clouds with different overlap rates and various sizes, and ensure the accuracy of the 3D reconstruction model.To address the above issues, a partial overlapping point cloud registration method based on dynamic feature matching named PPCR was proposed.Firstly, the point cloud was divided into sub-point clouds based on the Euclidean distance segmentation method.Secondly, the features of sub-point clouds were extracted.Since the sizes of different point clouds are varied, the scales of the extracted features are also different.Thus, a dynamic time warping (DTW) algorithm was proposed to map the sub-point clouds.Finally, the registration algorithm was iterated to obtain the translation and rotation matrix between point clouds.This matrix was used to complete the registration and stitching between point clouds.Experimental results show that the proposed method can effectively solve the registration problems of partially overlapping point clouds and point clouds with different scales.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021010/lidaroverlapping point cloudpoint cloud segmentationpoint cloud mappingpoint cloud registration |
| spellingShingle | Hui DU Changliang ZHENG Chunyu MIAO Xiaomeng ZHANG A partial overlapping point cloud registration method based on dynamic feature matching Dianxin kexue lidar overlapping point cloud point cloud segmentation point cloud mapping point cloud registration |
| title | A partial overlapping point cloud registration method based on dynamic feature matching |
| title_full | A partial overlapping point cloud registration method based on dynamic feature matching |
| title_fullStr | A partial overlapping point cloud registration method based on dynamic feature matching |
| title_full_unstemmed | A partial overlapping point cloud registration method based on dynamic feature matching |
| title_short | A partial overlapping point cloud registration method based on dynamic feature matching |
| title_sort | partial overlapping point cloud registration method based on dynamic feature matching |
| topic | lidar overlapping point cloud point cloud segmentation point cloud mapping point cloud registration |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021010/ |
| work_keys_str_mv | AT huidu apartialoverlappingpointcloudregistrationmethodbasedondynamicfeaturematching AT changliangzheng apartialoverlappingpointcloudregistrationmethodbasedondynamicfeaturematching AT chunyumiao apartialoverlappingpointcloudregistrationmethodbasedondynamicfeaturematching AT xiaomengzhang apartialoverlappingpointcloudregistrationmethodbasedondynamicfeaturematching AT huidu partialoverlappingpointcloudregistrationmethodbasedondynamicfeaturematching AT changliangzheng partialoverlappingpointcloudregistrationmethodbasedondynamicfeaturematching AT chunyumiao partialoverlappingpointcloudregistrationmethodbasedondynamicfeaturematching AT xiaomengzhang partialoverlappingpointcloudregistrationmethodbasedondynamicfeaturematching |