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This paper introduces an efficient procedure to localize user-defined points on the surface of deformable objects and track their positions in 3D space over time. To cope with a deformable object's infinite number of DOF, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2021-05-20 Sven Dittus , Benjamin Alt , Andreas Hermann , Darko Katic , Rainer Jäkel , Jürgen Fleischer

In dynamic tomography the object undergoes changes while projections are being acquired sequentially in time. The resulting inconsistent set of projections cannot be used directly to reconstruct an object corresponding to a time instant.…

Image and Video Processing · Electrical Eng. & Systems 2024-01-30 Berk Iskender , Marc L. Klasky , Yoram Bresler

We propose Stereo Direct Sparse Odometry (Stereo DSO) as a novel method for highly accurate real-time visual odometry estimation of large-scale environments from stereo cameras. It jointly optimizes for all the model parameters within the…

Computer Vision and Pattern Recognition · Computer Science 2017-08-29 Rui Wang , Martin Schwörer , Daniel Cremers

This paper presents a preliminary study of an efficient object tracking approach, comparing the performance of two different 3D point cloud sensory sources: LiDAR and stereo cameras, which have significant price differences. In this…

To support minimally-invasive intraoperative mitral valve repair, quantitative measurements from the valve can be obtained using an infra-red tracked stylus. It is desirable to view such manually measured points together with the endoscopic…

Computer Vision and Pattern Recognition · Computer Science 2022-01-27 Lukas Burger , Lalith Sharan , Samantha Fischer , Julian Brand , Maximillian Hehl , Gabriele Romano , Matthias Karck , Raffaele De Simone , Ivo Wolf , Sandy Engelhardt

Active stereo systems are used in many robotic applications that require 3D information. These depth sensors, however, suffer from stereo artefacts and do not provide dense depth estimates.In this work, we present the first self-supervised…

Computer Vision and Pattern Recognition · Computer Science 2022-01-21 Frederik Warburg , Daniel Hernandez-Juarez , Juan Tarrio , Alexander Vakhitov , Ujwal Bonde , Pablo F. Alcantarilla

Ultrasound imaging is a cost-effective and radiation-free modality for visualizing anatomical structures in real-time, making it ideal for guiding surgical interventions. However, its limited field-of-view, speckle noise, and imaging…

Image and Video Processing · Electrical Eng. & Systems 2024-04-26 Remi Delaunay , Ruisi Zhang , Filipe C. Pedrosa , Navid Feizi , Dianne Sacco , Rajni Patel , Jayender Jagadeesan

Tissue deformation recovery based on stereo endoscopic images is crucial for tool-tissue interaction analysis and benefits surgical navigation and autonomous soft tissue manipulation. Previous research suffers from the problems raised from…

Computer Vision and Pattern Recognition · Computer Science 2025-06-25 Jiahe Chen , Naoki Tomii , Ichiro Sakuma , Etsuko Kobayashi

X-ray imaging is the most popular medical imaging technology. While x-ray radiography is rather cost-effective, tissue structures are superimposed along the x-ray paths. On the other hand, computed tomography (CT) reconstructs internal…

Medical Physics · Physics 2021-12-01 Chuang Niu , Ge Wang

Computed tomography has propelled scientific advances in fields from biology to materials science. This technology allows for the elucidation of 3-dimensional internal structure by the attenuation of x-rays through an object at different…

Computer Vision and Pattern Recognition · Computer Science 2022-11-02 Rey Mendoza , Minh Nguyen , Judith Weng Zhu , Vincent Dumont , Talita Perciano , Juliane Mueller , Vidya Ganapati

Objects moving at high speed appear significantly blurred when captured with cameras. The blurry appearance is especially ambiguous when the object has complex shape or texture. In such cases, classical methods, or even humans, are unable…

Computer Vision and Pattern Recognition · Computer Science 2021-11-23 Denys Rozumnyi , Martin R. Oswald , Vittorio Ferrari , Jiri Matas , Marc Pollefeys

Accurate volume estimation of objects from visual data is a long-standing challenge in computer vision with significant applications in robotics, logistics, and smart health. Existing methods often rely on complex 3D reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Gautham Vinod , Bruce Coburn , Siddeshwar Raghavan , Fengqing Zhu

Detection of unwanted (`foreign') objects within products is a common procedure in many branches of industry for maintaining production quality. X-ray imaging is a fast, non-invasive and widely applicable method for foreign object…

Computer Vision and Pattern Recognition · Computer Science 2022-08-19 Mathé T. Zeegers , Tristan van Leeuwen , Daniël M. Pelt , Sophia Bethany Coban , Robert van Liere , Kees Joost Batenburg

Highly accurate 3D volumetric reconstruction is still an open research topic where the main difficulty is usually related to merging some rough estimations with high frequency details. One of the most promising methods is the fusion between…

Computer Vision and Pattern Recognition · Computer Science 2019-08-05 Fotios Logothetis , Roberto Mecca , Roberto Cipolla

X-Ray based computed tomography (CT) is a well-established technique for determining the three-dimensional structure of an object from its two-dimensional projections. In the past few decades, there have been significant advancements in the…

Medical Physics · Physics 2023-04-26 Dinesh Kumar , Dilworth Y. Parkinson , Jeffrey J. Donatelli

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

Advances in object tracking and acoustic beamforming are driving new capabilities in surveillance, human-computer interaction, and robotics. This work presents an embedded system that integrates deep learning-based tracking with beamforming…

X-ray tomographic image reconstruction consists of determining an object function from its projections. In many applications such as non-destructive testing, we look for a fault region (air) in a homogeneous, known background (metal). The…

Data Analysis, Statistics and Probability · Physics 2007-05-23 A. Mohammad-Djafari , Ken Sauer

X-ray microtomography is a versatile tool allowing the measurement of the 3D structure of optically thick samples. As a non-destructive technique, it is readily adapted to 4D imaging, where a sample can be monitored over time, and…

Instrumentation and Detectors · Physics 2025-12-17 Harry Allan , Tom Partridge , Joseph Jacob , Marco Endrizzi

Structured 3D representations such as keypoints and meshes offer compact, expressive descriptions of deformable objects, jointly capturing geometric and topological information useful for downstream tasks such as dynamics modeling and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Yeheng Zong , Yizhou Chen , Alexander Bowler , Chia-Tung Yang , Ram Vasudevan