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Related papers: A Taxonomy of Structure from Motion Methods

200 papers

In geology, a key activity is the characterisation of geological structures (surface formation topology and rock units) using Planar Orientation measurements such as Strike, Dip and Dip Direction. In general these measurements are collected…

Machine Learning · Computer Science 2020-12-23 J. Kissi-Ameyaw , K. McIsaac , X. Wang , G. R. Osinski

3D reconstruction of dynamic scenes is a long-standing problem in computer graphics and increasingly difficult the less information is available. Shape-from-Template (SfT) methods aim to reconstruct a template-based geometry from RGB images…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 David Stotko , Nils Wandel , Reinhard Klein

Automatic reconstruction of 3D models from images using multi-view Structure-from-Motion methods has been one of the most fruitful outcomes of computer vision. These advances combined with the growing popularity of Micro Aerial Vehicles as…

Robotics · Computer Science 2016-11-15 Shreyansh Daftry , Christof Hoppe , Horst Bischof

We propose a method to recover the structure of a compound object from multiple silhouettes. Structure is expressed as a collection of 3D primitives chosen from a pre-defined library, each with an associated pose. This has several…

Computer Vision and Pattern Recognition · Computer Science 2014-02-27 Anton van den Hengel , John Bastian , Anthony Dick , Lachlan Fleming

Structure-from-Motion (SfM) is a fundamental 3D vision task for recovering camera parameters and scene geometry from multi-view images. While recent deep learning advances enable accurate Monocular Depth Estimation (MDE) from single images…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Shengjie Zhu , Ahmed Abdelkader , Mark J. Matthews , Xiaoming Liu , Wen-Sheng Chu

The perspective camera and the isometric surface prior have recently gathered increased attention for Non-Rigid Structure-from-Motion (NRSfM). Despite the recent progress, several challenges remain, particularly the computational complexity…

Computer Vision and Pattern Recognition · Computer Science 2018-08-14 Thomas Probst , Danda Pani Paudel , Ajad Chhatkuli , Luc Van Gool

Long-term environmental monitoring requires the ability to reconstruct and align 3D models across repeated site visits separated by months or years. However, existing Structure-from-Motion (SfM) pipelines implicitly assume near-simultaneous…

Computer Vision and Pattern Recognition · Computer Science 2026-02-25 Beverley Gorry , Tobias Fischer , Michael Milford , Alejandro Fontan

The aim of Shape From Shading (SFS) problem is to reconstruct the relief of an object from a single gray level image. In this paper we present a new method to solve the problem of SFS using Machine learning method. Our approach belongs to…

Computer Vision and Pattern Recognition · Computer Science 2016-07-13 Lyes Abada , Saliha Aouat

We explain theoretically how to reconstruct the 3D scene from successive frames in order to see the video in 3D. To do this, features, associated to moving rigid objects in 3D, are extracted in frames and matched. The vanishing point…

Computer Vision and Pattern Recognition · Computer Science 2020-07-30 Slimane Larabi

This paper is concerned with possibility of recovery of motion and structure parameters from multiframes under perspective projection when only points on a rigid body are traced. Free (unrestricted and uncontrolled) pattern of motion…

Computer Vision and Pattern Recognition · Computer Science 2018-12-20 Mieczysław A. Kłopotek

The detection of hazardous conditions near public transit stations is necessary for ensuring the safety and accessibility of public transit. Smart city infrastructures aim to facilitate this task among many others through the use of…

Computer Vision and Pattern Recognition · Computer Science 2022-10-10 Indu Panigrahi , Tom Bu , Christoph Mertz

Shape from Focus (SFF) is a depth reconstruction technique that estimates scene structure from focus variations observed across a focal stack, that is, a sequence of images captured at different focus settings. A key limitation of SFF…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Khurram Ashfaq , Muhammad Tariq Mahmood

This paper presents an explore-and-classify framework for structured architectural reconstruction from an aerial image. Starting from a potentially imperfect building reconstruction by an existing algorithm, our approach 1) explores the…

Computer Vision and Pattern Recognition · Computer Science 2021-08-19 Fuyang Zhang , Xiang Xu , Nelson Nauata , Yasutaka Furukawa

Acquiring 3D geometry of real world objects has various applications in 3D digitization, such as navigation and content generation in virtual environments. Image remains one of the most popular media for such visual tasks due to its…

Computer Vision and Pattern Recognition · Computer Science 2017-01-26 Shuai Du , Youyi Zheng

Image retrieval is a critical step for reducing the quadratic cost of image matching in unconstrained Structure-from-Motion (SfM). Unlike generic image retrieval, however, the relevant goal of SfM is to identify geometrically matchable…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Xulei Shi , Maoyu Wang , Yuning Peng , Guanbo Wang , Xin Wang , Yifan Liao , Qi Chen , Pengjie Tao

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

We recover the underlying 3D structure from images of cartoons and anime depicting the same scene. This is an interesting problem domain because images in creative media are often depicted without explicit geometric consistency for…

Computer Vision and Pattern Recognition · Computer Science 2024-12-11 Ethan Weber , Riley Peterlinz , Rohan Mathur , Frederik Warburg , Alexei A. Efros , Angjoo Kanazawa

Many man-made objects have intrinsic symmetries and Manhattan structure. By assuming an orthographic projection model, this paper addresses the estimation of 3D structures and camera projection using symmetry and/or Manhattan structure…

Computer Vision and Pattern Recognition · Computer Science 2017-03-30 Yuan Gao , Alan L. Yuille

Incremental Structure from Motion (ISfM) has been widely used for UAV image orientation. Its efficiency, however, decreases dramatically due to the sequential constraint. Although the divide-and-conquer strategy has been utilized for…

Computer Vision and Pattern Recognition · Computer Science 2023-02-08 San Jiang , Qingquan Li , Wanshou Jiang , Wu Chen

Structure-from-motion (SfM) largely relies on feature tracking. In image sequences, if disjointed tracks caused by objects moving in and out of the field of view, occasional occlusion, or image noise, are not handled well, corresponding SfM…

Computer Vision and Pattern Recognition · Computer Science 2016-10-13 Guofeng Zhang , Haomin Liu , Zilong Dong , Jiaya Jia , Tien-Tsin Wong , Hujun Bao