| Paper Abstract and Keywords |
| Presentation |
2026-08-25 10:20
Improving Point Cloud Segmentation Using Multi-View Stereo and Image Semantic Information
Hikaru Saito, Shintaro Ito, Koichi Ito, Takafumi Aoki (Tohoku Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Multi-view stereo (MVS), which does not require specialized devices such as LiDAR, is currently being researched and developed as a low-cost 3D reconstruction method.
On the other hand, in segmentation using 3D point clouds reconstructed by MVS as input, it is difficult to correctly identify objects with little local shape variation or geometrically similar objects.
To address this challenge, it is effective to complementarily utilize the rich semantic information contained in images in addition to the spatial information of the point cloud.
Therefore, in this paper, we propose a method to improve the accuracy of point cloud semantic segmentation by integrating pixel-level semantic information obtained from image segmentation with the 3D point cloud reconstructed by MVS.
Through performance evaluation experiments using public datasets, we demonstrate that the proposed method suppresses misidentification between similar objects and enables high-precision environmental recognition. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Semantic segmentation / 3D point cloud / Multi-View Stereo / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 50, no. 23, ME2026-70, pp. 55-58, Aug. 2026. |
| Paper # |
ME2026-70 |
| Date of Issue |
2026-08-17 (ME) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
ME JSPE-IAIP |
| Conference Date |
2026-08-24 - 2026-08-25 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Nagoya Kasadera Hotel |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
ME |
| Conference Code |
2026-08-ME-IAIP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Improving Point Cloud Segmentation Using Multi-View Stereo and Image Semantic Information |
| Sub Title (in English) |
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| Keyword(1) |
Semantic segmentation |
| Keyword(2) |
3D point cloud |
| Keyword(3) |
Multi-View Stereo |
| Keyword(4) |
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| 1st Author's Name |
Hikaru Saito |
| 1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
| 2nd Author's Name |
Shintaro Ito |
| 2nd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
| 3rd Author's Name |
Koichi Ito |
| 3rd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
| 4th Author's Name |
Takafumi Aoki |
| 4th Author's Affiliation |
Tohoku University (Tohoku Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2026-08-25 10:20:00 |
| Presentation Time |
55 minutes |
| Registration for |
ME |
| Paper # |
ME2026-70 |
| Volume (vol) |
vol.50 |
| Number (no) |
no.23 |
| Page |
pp.55-58 |
| #Pages |
4 |
| Date of Issue |
2026-08-17 (ME) |