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Takahashi, Hiroki*; Kato, Toru*; Yamashita, Meguru*; Doi, Akio*; Imabuchi, Takashi

To create accurate 3D models from video footage, it is essential to use high-quality videos without floating objects that could interfere with the process. In this study, we applied the Segment Anything Model (SAM) and Generative Image Inpainting to enhance the quality of video frames by detecting and removing floating objects on a frame-by-frame basis. The results demonstrated the effectiveness of this approach in detecting and eliminating such objects, contributing to the improvement of video quality.

Language	:	Japanese
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Meeting title	:	第25回計測自動制御学会システムインテグレーション部門講演会(SI2024)
Held date	:	2024/12
Location (city)	:	盛岡
Location (country)	:	日本
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Keywords	:	福島第一原子力発電所事故; Fukushima Daiichi Nuclear Power Station Accident
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Registration No. : BB20241197
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