高质量虚拟单视点手术视频：手术灯中多相机的几何自标定
High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights
AI总结：
本文提出一种自动化图像对齐算法，通过检测手术灯移动帧、重新对齐并选择遮挡最少的相机，生成高质量无遮挡的稳定虚拟单视点手术视频，定量与用户研究均证实其优于传统方法。
摘要：
由于外科医生遮挡相机视野，生成无遮挡视频具有挑战性。先前的工作通过在手术灯上安装多个相机来解决此问题，希望某些相机能以较少的遮挡观察手术视野。然而，这种特殊的相机设置带来了新的成像挑战，因为每次外科医生移动手术灯时，相机配置都会改变，且需要手动进行图像对齐。本文提出一种算法来自动化此对齐任务。所提方法检测照明系统移动的帧，对其进行重新对齐，并选择遮挡最少的相机。该算法生成了一部遮挡较少的稳定视频。定量结果表明我们的方法优于传统方法。一项涉及医生的用户研究也证实了我们方法的优越性。
英文摘要：
Occlusion-free video generation is challenging due to surgeons' obstructions in the camera field of view. Prior work has addressed this issue by installing multiple cameras on a surgical light, hoping some cameras will observe the surgical field with less occlusion. However, this special camera setup poses a new imaging challenge since camera configurations can change every time surgeons move the light, and manual image alignment is required. This paper proposes an algorithm to automate this alignment task. The proposed method detects frames where the lighting system moves, realigns them, and selects the camera with the least occlusion. This algorithm results in a stabilized video with less occlusion. Quantitative results show that our method outperforms conventional approaches. A user study involving medical doctors also confirmed the superiority of our method.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
