| Paper Abstract and Keywords |
| Presentation |
2025-06-05 13:00
A Point Cloud Downsampling Method based on SHAP for 3D Object Classification
Ryota Sugimoto, Kenji Kanai, Jiro Katto (Waseda Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, the increasing density of point cloud data has raised concerns regarding the processing burdens in three-dimensional (3D) object recognition. While downsampling is commonly employed to reduce data volume, many methods don’t adequately consider optimization of downstream AI tasks, which results in degradation of classification accuracy. We propose a method to apply the machine learning model explanation method “SHAP” based on the Shapley value of cooperative game theory for the prediction of AI classification models, quantitatively analyze how much each point contributes to the classification prediction and use it as a downsampling strategy. Experimental results show that the proposed method achieves 1.86% improvement in classification accuracy compared to the existing method, Farthest Point Sampling (FPS), when the downsampling size is 750 or more points. These results demonstrate the effectiveness of our method in improving accuracy in 3D object recognition. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Point Cloud / Downsampling / Deep Learning / Shapley value / SHAP / / / |
| Reference Info. |
ITE Tech. Rep. |
| Paper # |
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| Date of Issue |
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| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
IST ME IEICE-IE IEICE-BioX IEICE-SIP IEICE-MI |
| Conference Date |
2025-06-05 - 2025-06-06 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
IEICE-IE |
| Conference Code |
2025-06-IST-ME-IE-BioX-SIP-MI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Point Cloud Downsampling Method based on SHAP for 3D Object Classification |
| Sub Title (in English) |
|
| Keyword(1) |
Point Cloud |
| Keyword(2) |
Downsampling |
| Keyword(3) |
Deep Learning |
| Keyword(4) |
Shapley value |
| Keyword(5) |
SHAP |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Ryota Sugimoto |
| 1st Author's Affiliation |
Waseda University (Waseda Univ.) |
| 2nd Author's Name |
Kenji Kanai |
| 2nd Author's Affiliation |
Waseda Research Institute for Science and Engineering (Waseda Univ.) |
| 3rd Author's Name |
Jiro Katto |
| 3rd Author's Affiliation |
Waseda University (Waseda Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2025-06-05 13:00:00 |
| Presentation Time |
25 minutes |
| Registration for |
IEICE-IE |
| Paper # |
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| Volume (vol) |
vol.49 |
| Number (no) |
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| Page |
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