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题名DESR: Dynamic Endoscopic Scene Reconstruction Based on Gaussian Splatting
作者
发表日期2024
会议名称9th International Workshop on Pattern Recognition
会议录名称Proceedings of SPIE - The International Society for Optical Engineering
ISSN0277-786X
卷号13399
会议日期2024-06-21——2024-06-23
会议地点Xiamen
摘要Reconstructing soft tissues in endoscopic videos requires the support of advanced 3D reconstruction technology, which plays a key role in robot-assisted minimally invasive surgery. In this paper, we focus on how to reconstruct dynamic soft tissues as realistically as possible with surgical instruments removed. Due to the limited viewing angle and complex soft tissue deformation, current methods suffer from reconstruction blur and long training time. Inspired by the powerful rendering ability of Gaussian Splatting, we propose a dynamic endoscopic scene reconstruction method which yields better rendering quality and real-time rendering speed. We first utilize depth information to project image to point cloud and give 3D Gaussian points initial positions and colors. The properties of Gaussian points at a certain time stamp are predicted by a MLP deformation module. Our network then renders 3D Gaussian points to get 2D images using a tile-based rasterizer. We design reconstruction losses and color variation loss to optimize the rendering results. Extensive experiments show that our network generates high-fidelity reconstructed endoscopic videos with real-time rendering speed.
关键词Endoscopic scene reconstruction Gaussian Splatting real-time
DOI10.1117/12.3053129
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语种英语English
Scopus入藏号2-s2.0-85208924471
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文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/13845
专题北师香港浸会大学
通讯作者Dong,Xiao
作者单位
Guangdong Provincial Key Laboratory IRADS,Department of Computer Science,BNU-HKBU United International College,Zhuhai,519087,China
第一作者单位北师香港浸会大学
通讯作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Fu,Yihang,Dong,Xiao,Miu,Runjieet al. DESR: Dynamic Endoscopic Scene Reconstruction Based on Gaussian Splatting[C], 2024.
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