Floating object removal in underwater ROV video images using segment anything model and generative image in-painting

高橋 弘毅*; 加藤 徹*; 山下 圏*; 土井 章男*; 今渕 貴志  

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.