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Obtaining accurate depth measurements out of a single image represents a fascinating solution to 3D sensing. CNNs led to considerable improvements in this field, and recent trends replaced the need for ground-truth labels with…

Computer Vision and Pattern Recognition · Computer Science 2018-08-07 Matteo Poggi , Fabio Tosi , Stefano Mattoccia

Reconstruction of the soft tissues in robotic surgery from endoscopic stereo videos is important for many applications such as intra-operative navigation and image-guided robotic surgery automation. Previous works on this task mainly rely…

Computer Vision and Pattern Recognition · Computer Science 2022-07-01 Yuehao Wang , Yonghao Long , Siu Hin Fan , Qi Dou

Video inpainting fills in corrupted video content with plausible replacements. While recent advances in endoscopic video inpainting have shown potential for enhancing the quality of endoscopic videos, they mainly repair 2D visual…

Image and Video Processing · Electrical Eng. & Systems 2024-07-04 Francis Xiatian Zhang , Shuang Chen , Xianghua Xie , Hubert P. H. Shum

Recent advancements in retinal surgery have paved the way for a modern operating room equipped with a surgical robot, a microscope, and intraoperative optical coherence tomography (iOCT)- a depth sensor widely used in retinal surgery.…

Monocular depth estimation is critical for endoscopists to perform spatial perception and 3D navigation of surgical sites. However, most of the existing methods ignore the important geometric structural consistency, which inevitably leads…

Computer Vision and Pattern Recognition · Computer Science 2023-04-21 Yongming Yang , Shuwei Shao , Tao Yang , Peng Wang , Zhuo Yang , Chengdong Wu , Hao Liu

Laparoscopic video tracking primarily focuses on two target types: surgical instruments and anatomy. The former could be used for skill assessment, while the latter is necessary for the projection of virtual overlays. Where instrument and…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Beerend G. A. Gerats , Jelmer M. Wolterink , Seb P. Mol , Ivo A. M. J. Broeders

Robust and accurate 2D/3D registration, which aligns preoperative models with intraoperative images of the same anatomy, is crucial for successful interventional navigation. To mitigate the challenge of a limited field of view in…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Yuxin Cui , Rui Song , Yibin Li , Max Q. -H. Meng , Zhe Min

In endoscopy, many applications (e.g., surgical navigation) would benefit from a real-time method that can simultaneously track the endoscope and reconstruct the dense 3D geometry of the observed anatomy from a monocular endoscopic video.…

Computer Vision and Pattern Recognition · Computer Science 2022-02-23 Xingtong Liu , Zhaoshuo Li , Masaru Ishii , Gregory D. Hager , Russell H. Taylor , Mathias Unberath

Real-time 3D navigation during minimally invasive procedures is an essential yet challenging task, especially when considerable tissue motion is involved. To balance image acquisition speed and resolution, only 2D images or low-resolution…

Computer Vision and Pattern Recognition · Computer Science 2018-01-03 Xiao-Yun Zhou , Guang-Zhong Yang , Su-Lin Lee

Gastroendoscopy has been a clinical standard for diagnosing and treating conditions that affect a part of a patient's digestive system, such as the stomach. Despite the fact that gastroendoscopy has a lot of advantages for patients, there…

Computer Vision and Pattern Recognition · Computer Science 2021-07-29 Aji Resindra Widya , Yusuke Monno , Masatoshi Okutomi , Sho Suzuki , Takuji Gotoda , Kenji Miki

This paper introduces a new approach based on a coupled representation and a neural volume optimization to implicitly perform 3D shape editing in latent space. This work has three innovations. First, we design the coupled neural shape (CNS)…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Jingyu Hu , Ka-Hei Hui , Zhengzhe Liu , Hao Zhang , Chi-Wing Fu

Brain shift makes the pre-operative MRI navigation highly inaccurate hence the intraoperative modalities are adopted in surgical theatre. Due to the excellent economic and portability merits, the Ultrasound imaging is used at our…

Image and Video Processing · Electrical Eng. & Systems 2020-11-17 Mou-Cheng Xu

As the number of people affected by diseases in the gastrointestinal system is ever-increasing, a higher demand on preventive screening is inevitable. This will significantly increase the workload on gastroenterologists. To help reduce the…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Pål Anders Floor , Ivar Farup , Marius Pedersen

Understanding the workflow of surgical procedures in complex operating rooms requires a deep understanding of the interactions between clinicians and their environment. Surgical activity recognition (SAR) is a key computer vision task that…

Computer Vision and Pattern Recognition · Computer Science 2025-02-20 Idris Hamoud , Vinkle Srivastav , Muhammad Abdullah Jamal , Didier Mutter , Omid Mohareri , Nicolas Padoy

Estimating precise metric depth and scene reconstruction from monocular endoscopy is a fundamental task for surgical navigation in robotic surgery. However, traditional stereo matching adopts binocular images to perceive the depth…

Robotics · Computer Science 2022-11-29 Ruofeng Wei , Bin Li , Hangjie Mo , Fangxun Zhong , Yonghao Long , Qi Dou , Yun-Hui Liu , Dong Sun

Real-time algorithms for automatically recognizing surgical phases are needed to develop systems that can provide assistance to surgeons, enable better management of operating room (OR) resources and consequently improve safety within the…

Computer Vision and Pattern Recognition · Computer Science 2018-05-23 Gaurav Yengera , Didier Mutter , Jacques Marescaux , Nicolas Padoy

2D visual foundation models, such as DINOv3, a self-supervised model trained on large-scale natural images, have demonstrated strong zero-shot generalization, capturing both rich global context and fine-grained structural cues. However, an…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Yik San Cheng , Runkai Zhao , Weidong Cai

Endoscopy is essential in medical imaging, used for diagnosis, prognosis and treatment. Developing a robust dynamic 3D reconstruction pipeline for endoscopic videos could enhance visualization, improve diagnostic accuracy, aid in treatment…

Computer Vision and Pattern Recognition · Computer Science 2026-02-18 Laura Salort-Benejam , Antonio Agudo

Image-based navigation is widely considered the next frontier of minimally invasive surgery. It is believed that image-based navigation will increase the access to reproducible, safe, and high-precision surgery as it may then be performed…

Computer Vision and Pattern Recognition · Computer Science 2021-08-06 Mathias Unberath , Cong Gao , Yicheng Hu , Max Judish , Russell H Taylor , Mehran Armand , Robert Grupp

Video endoscopy represents a major advance in the investigation of gastrointestinal diseases. Reviewing endoscopy videos often involves frequent adjustments and reorientations to piece together a complete view, which can be both…

Computer Vision and Pattern Recognition · Computer Science 2025-02-14 Juming Xiong , Muyang Li , Ruining Deng , Tianyuan Yao , Shunxing Bao , Regina N Tyree , Girish Hiremath , Yuankai Huo