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Related papers: Single-View Rolling-Shutter SfM

200 papers

With the ubiquity of rolling shutter (RS) cameras, it is becoming increasingly attractive to recover the latent global shutter (GS) video from two consecutive RS frames, which also places a higher demand on realism. Existing solutions,…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Bin Fan , Yuchao Dai , Zhiyuan Zhang , Qi Liu , Mingyi He

This paper addresses the problem of recovering projective camera matrices from collections of fundamental matrices in multiview settings. We make two main contributions. First, given ${n \choose 2}$ fundamental matrices computed for $n$…

Computer Vision and Pattern Recognition · Computer Science 2021-06-08 Yoni Kasten , Amnon Geifman , Meirav Galun , Ronen Basri

Finding local features that are repeatable across multiple views is a cornerstone of sparse 3D reconstruction. The classical image matching paradigm detects keypoints per-image once and for all, which can yield poorly-localized features and…

Computer Vision and Pattern Recognition · Computer Science 2021-08-19 Philipp Lindenberger , Paul-Edouard Sarlin , Viktor Larsson , Marc Pollefeys

In this paper, we present a complete refractive Structure-from-Motion (RSfM) framework for underwater 3D reconstruction using refractive camera setups (for both, flat- and dome-port underwater housings). Despite notable achievements in…

Computer Vision and Pattern Recognition · Computer Science 2025-01-16 Mengkun She , Felix Seegräber , David Nakath , Kevin Köser

Neural Radiance Fields (NeRFs) have become increasingly popular because of their impressive ability for novel view synthesis. However, their effectiveness is hindered by the Rolling Shutter (RS) effects commonly found in most camera…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Muyao Niu , Tong Chen , Yifan Zhan , Zhuoxiao Li , Xiang Ji , Yinqiang Zheng

Structure from Motion (SfM) estimates camera poses and reconstructs point clouds, forming a foundation for various tasks. However, applying SfM to driving scenes captured by multi-camera systems presents significant difficulties, including…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Lingfeng Xuan , Chang Nie , Yiqing Xu , Zhe Liu , Yanzi Miao , Hesheng Wang

Motion degradation, manifested as blur in global shutter (GS) images or rolling shutter (RS) distortion in RS counterparts, remains a fundamental challenge in computational imaging, especially under fast motion or low-light conditions.…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Xiang Ji , Guixu Lin , Zhengwei Yin , Jiancheng Zhao , Yinqiang Zheng

Two-view structure-from-motion (SfM) is the cornerstone of 3D reconstruction and visual SLAM. Existing deep learning-based approaches formulate the problem by either recovering absolute pose scales from two consecutive frames or predicting…

Computer Vision and Pattern Recognition · Computer Science 2021-04-02 Jianyuan Wang , Yiran Zhong , Yuchao Dai , Stan Birchfield , Kaihao Zhang , Nikolai Smolyanskiy , Hongdong Li

This paper reports on a novel template-free monocular non-rigid surface reconstruction approach. Existing techniques using motion and deformation cues rely on multiple prior assumptions, are often computationally expensive and do not…

Computer Vision and Pattern Recognition · Computer Science 2017-10-18 Mohammad Dawud Ansari , Vladislav Golyanik , Didier Stricker

The rolling shutter (RS) mechanism is widely used by consumer-grade cameras, which are essential parts in smartphones and autonomous vehicles. The RS effect leads to image distortion upon relative motion between a camera and the scene. This…

Image and Video Processing · Electrical Eng. & Systems 2021-08-23 Jianzhu Huai , Yuan Zhuang , Qicheng Yuan , Yukai Lin

3D reconstruction plays an increasingly important role in modern photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) platforms can provide the necessary data sources for the 3D reconstruction of large-scale…

Computer Vision and Pattern Recognition · Computer Science 2023-05-19 San Jiang , Yaxin Li , Duojie Weng , Kan You , Wu Chen

Usual Structure-from-Motion (SfM) techniques require at least trifocal overlaps to calibrate cameras and reconstruct a scene. We consider here scenarios of reduced image sets with little overlap, possibly as low as two images at most seeing…

Computer Vision and Pattern Recognition · Computer Science 2017-03-29 Yohann Salaun , Renaud Marlet , Pascal Monasse

Many monocular visual SLAM algorithms are derived from incremental structure-from-motion (SfM) methods. This work proposes a novel monocular SLAM method which integrates recent advances made in global SfM. In particular, we present two main…

Computer Vision and Pattern Recognition · Computer Science 2017-10-20 Chengzhou Tang , Oliver Wang , Ping Tan

Non-rigid structure-from-motion (NRSfM), a promising technique for addressing the mapping challenges in monocular visual deformable simultaneous localization and mapping (SLAM), has attracted growing attention. We introduce a novel method,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-03 Yongbo Chen , Yanhao Zhang , Shaifali Parashar , Liang Zhao , Shoudong Huang

A recent trend in Non-Rigid Structure-from-Motion (NRSfM) is to express local, differential constraints between pairs of images, from which the surface normal at any point can be obtained by solving a system of polynomial equations. The…

Computer Vision and Pattern Recognition · Computer Science 2021-07-14 Shaifali Parashar , Yuxuan Long , Mathieu Salzmann , Pascal Fua

In this paper, we address the inverse problem of reconstructing a scene as well as the camera motion from the image sequence taken by an omni-directional camera. Our structure from motion results give sharp conditions under which the…

Computer Vision and Pattern Recognition · Computer Science 2007-08-21 Oliver Knill , Jose Ramirez-Herran

We describe a special case of structure from motion where the camera rotates on a sphere. The camera's optical axis lies perpendicular to the sphere's surface. In this case, the camera's pose is minimally represented by three rotation…

Computer Vision and Pattern Recognition · Computer Science 2016-09-06 Jonathan Ventura

Structure-from-Motion approaches could be broadly divided into two classes: incremental and global. While incremental manner is robust to outliers, it suffers from error accumulation and heavy computation load. The global manner has the…

Computer Vision and Pattern Recognition · Computer Science 2018-03-26 Hainan Cui , Shuhan Shen , Xiang Gao , Zhanyi Hu

Humans tend to build environments with structure, which consists of mainly planar surfaces. From the intersection of planar surfaces arise straight lines. Lines have more degrees-of-freedom than points. Thus, line-based…

Robotics · Computer Science 2021-06-01 André Mateus , Omar Tahri , A. Pedro Aguiar , Pedro U. Lima , Pedro Miraldo

Videos obtained by rolling-shutter (RS) cameras result in spatially-distorted frames. These distortions become significant under fast camera/scene motions. Undoing effects of RS is sometimes addressed as a spatial problem, where objects…

Computer Vision and Pattern Recognition · Computer Science 2022-07-26 Eyal Naor , Itai Antebi , Shai Bagon , Michal Irani