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Paper Abstract and Keywords
Presentation 2026-10-08 12:05
A Note on Object-Level Quality Assessment and Selective Refinement of Low-Quality Objects in 4D Scene Reconstruction
Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) 4D scene reconstruction aims to recover dynamic 3D scenes from multi-view videos, in which the position, shapes, and appearances of objects change over time. Conventional quality metrics for 4D reconstruction mainly assess the quality of entire rendered frames, making it difficult to identify which objects in a scene suffer from quality degradation. In this paper, we extend our previously proposed object-level metric for evaluating 3D scene quality based on object detection to the evaluation of 4D scenes. The proposed method uses a video segmentation model to track the same objects across frames and computes a quality score for each object over time, enabling local quality degradation in dynamic scenes to be evaluated at the object level. Furthermore, as an application of the proposed evaluation method, we also investigate a selective refinement method for 4D Gaussian Splatting that automatically identifies low-quality objects based on the evaluation results and performs additional optimization focused on the corresponding Gaussians. Experiments demonstrate that the proposed evaluation method can capture local quality degradation for individual objects. Moreover, compared with refining the entire scene, the proposed selective refinement method improves the targeted low-quality regions while suppressing quality degradation in regions that are already reconstructed with high quality.
Keyword (in Japanese) (See Japanese page) 
(in English) 4D Scene Reconstruction / Object-Level Quality Assessment / 4D Gaussian Splatting / Video Segmentation / Selective Refinement / / /  
Reference Info. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee IEICE-SIS BCT  
Conference Date 2026-10-08 - 2026-10-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagoshima Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IEICE-SIS 
Conference Code 2026-10-SIS-BCT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Object-Level Quality Assessment and Selective Refinement of Low-Quality Objects in 4D Scene Reconstruction 
Sub Title (in English)  
Keyword(1) 4D Scene Reconstruction  
Keyword(2) Object-Level Quality Assessment  
Keyword(3) 4D Gaussian Splatting  
Keyword(4) Video Segmentation  
Keyword(5) Selective Refinement  
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1st Author's Name Yuiko Uchida  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Ren Togo  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Keisuke Maeda  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Takahiro Ogawa  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
5th Author's Name Miki Haseyama  
5th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2026-10-08 12:05:00 
Presentation Time 20 minutes 
Registration for IEICE-SIS 
Paper #  
Volume (vol) vol.50 
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