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Related papers: Structure from Motion on a Sphere

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We present a novel Structure from Motion pipeline that is capable of reconstructing accurate camera poses for panorama-style video capture without prior camera intrinsic calibration. While panorama-style capture is common and convenient,…

Computer Vision and Pattern Recognition · Computer Science 2019-06-11 Chris Sweeney , Aleksander Holynski , Brian Curless , Steve M Seitz

There has been extensive progress in the reconstruction and generation of 4D scenes from monocular casually-captured video. While these tasks rely heavily on known camera poses, the problem of finding such poses using structure-from-motion…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Lily Goli , Sara Sabour , Mark Matthews , Marcus Brubaker , Dmitry Lagun , Alec Jacobson , David J. Fleet , Saurabh Saxena , Andrea Tagliasacchi

In this paper, we present a robust and efficient Structure from Motion pipeline for accurate 3D reconstruction under challenging environments by leveraging the camera pose information from a visual-inertial odometry. Specifically, we…

Computer Vision and Pattern Recognition · Computer Science 2021-01-27 Zijie Jiang , Hajime Taira , Naoyuki Miyashita , Masatoshi Okutomi

Structure from Motion (SfM) is a critical task in computer vision, aiming to recover the 3D scene structure and camera motion from a sequence of 2D images. The recent pose-only imaging geometry decouples 3D coordinates from camera poses and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Xinrui Li , Qi Cai , Yuanxin Wu

Structure from Motion (SfM) refers to the problem of recovering both structure (i.e., 3D coordinates of points in the scene) and motion (i.e., camera matrices) starting from point correspondences in multiple images. It has attracted…

Computer Vision and Pattern Recognition · Computer Science 2025-05-22 Federica Arrigoni

Structure-from-Motion (SfM), a task aiming at jointly recovering camera poses and 3D geometry of a scene given a set of images, remains a hard problem with still many open challenges despite decades of significant progress. The traditional…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Bardienus Duisterhof , Lojze Zust , Philippe Weinzaepfel , Vincent Leroy , Yohann Cabon , Jerome Revaud

This paper is a theoretical study of the following Non-Rigid Structure from Motion problem. What can be computed from a monocular view of a parametrically deforming set of points? We treat various variations of this problem for affine and…

Computer Vision and Pattern Recognition · Computer Science 2025-04-10 Yirmeyahu Kaminski , Michael Werman

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 state an elementary inequality for the structure from motion problem for m cameras and n points. This structure from motion inequality relates space dimension, camera parameter dimension, the number of cameras and number points and…

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

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

Computing the epipolar geometry from feature points between cameras with very different viewpoints is often error prone, as an object's appearance can vary greatly between images. For such cases, it has been shown that using motion…

Computer Vision and Pattern Recognition · Computer Science 2018-12-18 Tavi Halperin , Michael Werman

This paper addresses the problem of Structure from Motion (SfM) for indoor panoramic image streams, extremely challenging even for the state-of-the-art due to the lack of textures and minimal parallax. The key idea is the fusion of…

Computer Vision and Pattern Recognition · Computer Science 2016-12-06 Satoshi Ikehata , Ivaylo Boyadzhiev , Qi Shan , Yasutaka Furukawa

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

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

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 rephrase the problem of 3D reconstruction from images in terms of intersections of projections of orbits of custom built Lie groups actions. We then use an algorithmic method based on moving frames "a la Fels-Olver" to obtain a…

Computer Vision and Pattern Recognition · Computer Science 2007-05-23 Pierre-Louis Bazin , Mireille Boutin

Structure from Motion or the sparse 3D reconstruction out of individual photos is a long studied topic in computer vision. Yet none of the existing reconstruction pipelines fully addresses a progressive scenario where images are only…

Computer Vision and Pattern Recognition · Computer Science 2018-07-12 Alex Locher , Michal Havlena , Luc Van Gool

The implementation of a Structure-from-Motion (SfM) pipeline from a synthetically generated scene as well as the investigation of the faithfulness of diverse reconstructions is the subject of this project. A series of different SfM…

Computer Vision and Pattern Recognition · Computer Science 2017-10-04 Martin Hahner , Orestis Varesis , Panagiotis Bountouris

The problem of structure from motion is concerned with recovering the 3-dimensional structure of an object from a set of 2-dimensional images taken by unknown cameras. Generally, all information can be uniquely recovered if enough images…

Algebraic Geometry · Mathematics 2024-03-01 Martin Bråtelund

Rolling-shutter (RS) cameras are ubiquitous, but RS SfM (structure-from-motion) has not been fully solved yet. This work suggests an approach to remedy this: We characterize RS single-view geometry of observed world points or lines.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Sofía Errázuriz Muñoz , Kim Kiehn , Petr Hruby , Kathlén Kohn
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