Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1610011(2022)
Point-Cloud Semantic Segmentation Network Considering Normals
Fig. 4. Semantic segmentation results of column. (a) PointNet; (b) PPCAN; (c) ground truth
Fig. 5. Semantic segmentation results of sofa. (a) PointNet; (b) PPCAN; (c) ground truth
Fig. 7. Semantic segmentation results of board. (a) PointNet; (b) PPCAN; (c) ground truth
Fig. 8. Results of 8 times predication on both PointNet and PPCAN. (a) PointNet; (b) PPCAN
Fig. 9. Error characteristics of IoU with PPCAN. (a) Range; (b) standard deviation
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Pengfei Shang, Yi Chen, Weijia Lv, Fang Zheng, Jielong Wang. Point-Cloud Semantic Segmentation Network Considering Normals[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610011
Category: Image Processing
Received: May. 18, 2021
Accepted: Jul. 20, 2021
Published Online: Jul. 22, 2022
The Author Email: Yi Chen (chenyi@tongji.edu.cn)