Tech Report: Divide and Conquer 3D Real-Time Reconstruction for Improved IGS
원문 초록
Tracking surgical modifications based on endoscopic videos is technically feasible and of great clinical advantages; however, it still remains challenging. This report presents a modular pipeline to divide and conquer the clinical challenges in the process. The pipeline integrates frame selection, depth estimation, and 3D reconstruction components, allowing for flexibility and adaptability in incorporating new methods. Recent advancements, including the integration of Depth-Anything V2 and EndoDAC for depth estimation, as well as improvements in the Iterative Closest Point (ICP) alignment process, are detailed. Experiments conducted on the Hamlyn dataset demonstrate the effectiveness of the integrated methods. System capability and limitations are both discussed.
함께 살펴볼 논문
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Test3R: Learning to Reconstruct 3D at Test Time
Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction
POMATO: Marrying Pointmap Matching with Temporal Motion for Dynamic 3D Reconstruction
Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation
Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation
TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors
토론
이 논문과 연결된 포럼 글이 아직 없습니다.