Partial Point Cloud Registration Via Soft Segmentation
- Publisher:
- Institute of Electrical and Electronics Engineers (IEEE)
- Publication Type:
- Conference Proceeding
- Citation:
- Proceedings - International Conference on Image Processing, ICIP, 2022, 00, pp. 681-685
- Issue Date:
- 2022-10-16
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| Partial_Point_Cloud_Registration_Via_Soft_Segmentation.pdf | Published version | 1.16 MB |
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Most existing correspondence-free registration methods suffer from performance degradation in partial overlapped point clouds. To solve the partial overlapped point cloud registration, this paper proposes, SegReg, a soft Segmentationbased correspondence-free Registration approach. Specifically, we first softly segment both source and target point clouds into a discrete number of geometric partitions, respectively. Then registration is achieved through iteratively using the IC-LK algorithm to minimize the distance between the feature descriptors of the corresponded partitions. Extensive experiments on synthetic synthetic dataset ModelNet40 and real dataset 7Scene show that the proposed method achieves state-of-the-art performance.
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