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Related papers: Single-View Rolling-Shutter SfM

200 papers

Typical Structure-from-Motion (SfM) pipelines rely on finding correspondences across images, recovering the projective structure of the observed scene and upgrading it to a metric frame using camera self-calibration constraints. Solving…

Computer Vision and Pattern Recognition · Computer Science 2020-07-07 Rui Gong , Danda Pani Paudel , Ajad Chhatkuli , Luc Van Gool

Monocular dynamic reconstruction is a challenging and long-standing vision problem due to the highly ill-posed nature of the task. Existing approaches depend on templates, are effective only in quasi-static scenes, or fail to model 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Qianqian Wang , Vickie Ye , Hang Gao , Weijia Zeng , Jake Austin , Zhengqi Li , Angjoo Kanazawa

Creating 3D models through the Structure from Motion technique is a recognized, efficient, cost-effective structural monitoring strategy. This technique is applied in several engineering fields, particularly for creating models of large…

Computer Vision and Pattern Recognition · Computer Science 2024-09-25 Francisco Roza de Moraes , Irineu da Silva

We completely classify all minimal problems for Structure-from-Motion (SfM) where arrangements of points and lines are fully observed by multiple uncalibrated pinhole cameras. We find 291 minimal problems, 73 of which have unique solutions…

Computer Vision and Pattern Recognition · Computer Science 2025-08-01 Kim Kiehn , Albin Ahlbäck , Kathlén Kohn

Single-pixel imaging (SPI) exhibits cost-effectiveness, broad spectrum, and stable sub-Nyquist sampling reconstruction, enabling applications across diverse imaging fields.However, due to the inherent reconstruction mechanism, SPI is not…

Optics · Physics 2025-04-18 Shao Chongwu , Cao Yue , Zhao Qing , Yao Xuri

While initial approaches to Structure-from-Motion (SfM) revolved around both global and incremental methods, most recent applications rely on incremental systems to estimate camera poses due to their superior robustness. Though there has…

Computer Vision and Pattern Recognition · Computer Science 2023-12-01 Ayush Baid , John Lambert , Travis Driver , Akshay Krishnan , Hayk Stepanyan , Frank Dellaert

We present a method to reconstruct the three-dimensional trajectory of a moving instance of a known object category using stereo video data. We track the two-dimensional shape of objects on pixel level exploiting instance-aware semantic…

Computer Vision and Pattern Recognition · Computer Science 2018-08-29 Sebastian Bullinger , Christoph Bodensteiner , Michael Arens , Rainer Stiefelhagen

Current non-rigid structure from motion (NRSfM) algorithms are mainly limited with respect to: (i) the number of images, and (ii) the type of shape variability they can handle. This has hampered the practical utility of NRSfM for many…

Computer Vision and Pattern Recognition · Computer Science 2019-08-13 Chen Kong , Simon Lucey

Accurate 3D reconstruction from unstructured image collections is a key requirement in applications such as robotics, mapping, and scene understanding. While global Structure from Motion (SfM) techniques rely on full image connectivity and…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Muhammad Zeeshan , Umer Zaki , Syed Ahmed Pasha , Zaar Khizar

CMOS sensors employ row-wise acquisition mechanism while imaging a scene, which can result in undesired motion artifacts known as rolling shutter (RS) distortions in the captured image. Existing single image RS rectification methods attempt…

Computer Vision and Pattern Recognition · Computer Science 2021-12-14 Praveen K , Lokesh Kumar T , A. N. Rajagopalan

Most consumer cameras use rolling shutter (RS) exposure, which often leads to distortions such as skew and jelly effects. These videos are further limited by bandwidth and frame rate constraints. In this paper, we explore the potential of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Yunfan Lu , Guoqiang Liang , Yiran Shen , Lin Wang

We propose a novel method to accurately reconstruct a set of images representing a single scene from few linear multi-view measurements. Each observed image is modeled as the sum of a background image and a foreground one. The background…

Computer Vision and Pattern Recognition · Computer Science 2013-09-19 Gilles Puy , Pierre Vandergheynst

In this paper, we propose a novel projector-camera system for practical and low-cost acquisition of a dense object 3D model with the spectral reflectance property. In our system, we use a standard RGB camera and leverage an off-the-shelf…

Computer Vision and Pattern Recognition · Computer Science 2019-08-23 Chunyu Li , Yusuke Monno , Hironori Hidaka , Masatoshi Okutomi

This paper proposes the first real-world rolling shutter (RS) correction dataset, BS-RSC, and a corresponding model to correct the RS frames in a distorted video. Mobile devices in the consumer market with CMOS-based sensors for video…

Computer Vision and Pattern Recognition · Computer Science 2022-05-02 Mingdeng Cao , Zhihang Zhong , Jiahao Wang , Yinqiang Zheng , Yujiu Yang

The vast majority of modern consumer-grade cameras employ a rolling shutter mechanism. In dynamic geometric computer vision applications such as visual SLAM, the so-called rolling shutter effect therefore needs to be properly taken into…

Computer Vision and Pattern Recognition · Computer Science 2016-05-03 Yuchao Dai , Hongdong Li , Laurent Kneip

We present "Humans and Structure from Motion" (HSfM), a method for jointly reconstructing multiple human meshes, scene point clouds, and camera parameters in a metric world coordinate system from a sparse set of uncalibrated multi-view…

Computer Vision and Pattern Recognition · Computer Science 2025-05-22 Lea Müller , Hongsuk Choi , Anthony Zhang , Brent Yi , Jitendra Malik , Angjoo Kanazawa

In this paper, we present a novel linear algorithm to estimate the 6 DoF relative pose from consecutive frames of stereo rolling shutter (RS) cameras. Our method is derived based on the assumption that stereo cameras undergo motion with…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Ke Wang , Bin Fan , Yuchao Dai

Structure from Motion (SfM) techniques are being increasingly used to create 3D maps from images in many domains including environmental monitoring. However, SfM techniques are often confounded in visually repetitive environments as they…

Robotics · Computer Science 2022-01-11 Brian M. Hopkinson , Suchendra M. Bhandarkar

In the last twenty years, Structure from Motion (SfM) has been a constant research hotspot in the fields of photogrammetry, computer vision, robotics etc., whereas real-time performance is just a recent topic of growing interest. This work…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Zongqian Zhan , Yifei Yu , Rui Xia , Wentian Gan , Hong Xie , Giulio Perda , Luca Morelli , Fabio Remondino , Xin Wang

Spherical images taken in all directions (360 degrees) allow representing the surroundings of the subject and the space itself, providing an immersive experience to the viewers. Generating a spherical image from a single…

Computer Vision and Pattern Recognition · Computer Science 2020-01-10 Takayuki Hara , Tatsuya Harada