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Related papers: A Taxonomy of Structure from Motion Methods

200 papers

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

This position paper argues for the use of \emph{structured generative models} (SGMs) for the understanding of static scenes. This requires the reconstruction of a 3D scene from an input image (or a set of multi-view images), whereby the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Christopher K. I. Williams

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

Accuracy and efficiency are two key problems in large scale incremental Structure from Motion (SfM). In this paper, we propose a unified framework to divide the image set into clusters suitable for reconstruction as well as find multiple…

Computer Vision and Pattern Recognition · Computer Science 2016-12-22 Kun Sun , Wenbing Tao

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

Active 3D measurement, especially structured light (SL) has been widely used in various fields for its robustness against textureless or equivalent surfaces by low light illumination. In addition, reconstruction of large scenes by moving…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Kazuto Ichimaru , Diego Thomas , Takafumi Iwaguchi , Hiroshi Kawasaki

Infrared thermography has been widely used in several domains to capture and measure temperature distributions across surfaces and objects. This methodology can be further expanded to 3D applications if the spatial distribution of the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Jincheng Zhang , Kevin Brink , Andrew R Willis

Scene regression methods, such as VGGT, solve the Structure-from-Motion (SfM) problem by directly regressing camera poses and 3D scene structures from input images. They demonstrate impressive performance in handling images under extreme…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Junyuan Deng , Heng Li , Tao Xie , Weiqiang Ren , Qian Zhang , Ping Tan , Xiaoyang Guo

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

Progress in image sensors and computation power has fueled studies to improve acquisition, processing, and analysis of 3D streams along with 3D scenes/objects reconstruction. The role of motion compensation/motion estimation (MCME) in 3D TV…

Multimedia · Computer Science 2013-12-24 Vania V. Estrela , Alessandra M. Coelho

We demonstrate the use of shape-from-shading (SfS) to improve both the quality and the robustness of 3D reconstruction of dynamic objects captured by a single camera. Unlike previous approaches that made use of SfS as a post-processing…

Computer Vision and Pattern Recognition · Computer Science 2017-08-08 Qi Liu-Yin , Rui Yu , Lourdes Agapito , Andrew Fitzgibbon , Chris Russell

Structure-from-Motion (SfM) is a fundamental technique for recovering camera poses and scene structure from multi-view imagery, serving as a critical upstream component for applications ranging from 3D reconstruction to modern neural scene…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Jiankun Zhong , Zitong Zhan , Quankai Gao , Ziyu Chen , Haozhe Lou , Jiageng Mao , Ulrich Neumann , Chen Wang , Yue Wang

Our world is full of identical objects (\emphe.g., cans of coke, cars of same model). These duplicates, when seen together, provide additional and strong cues for us to effectively reason about 3D. Inspired by this observation, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2024-01-11 Tianhang Cheng , Wei-Chiu Ma , Kaiyu Guan , Antonio Torralba , Shenlong Wang

Non-Rigid Structure from Motion (NRSfM) refers to the problem of reconstructing cameras and the 3D point cloud of a non-rigid object from an ensemble of images with 2D correspondences. Current NRSfM algorithms are limited from two…

Computer Vision and Pattern Recognition · Computer Science 2019-09-10 Chen Kong , Simon Lucey

Recent approaches on visual scene understanding attempt to build a scene graph -- a computational representation of objects and their pairwise relationships. Such rich semantic representation is very appealing, yet difficult to obtain from…

Computer Vision and Pattern Recognition · Computer Science 2018-11-08 Paul Gay , Stuart James , Alessio Del Bue

We investigate the possibility of 3D scene reconstruction from two or more overlapping webcam streams. A large, and growing, number of webcams observe places of interest and are publicly accessible. The question naturally arises: can we…

Computer Vision and Pattern Recognition · Computer Science 2021-12-14 Tianyu Wu , Konrad Schindler , Cenek Albl

Multi-view 3D reconstruction, namely, structure-from-motion followed by multi-view stereo, is a fundamental component of 3D computer vision. In general, multi-view 3D reconstruction suffers from an unknown scale ambiguity unless a reference…

Computer Vision and Pattern Recognition · Computer Science 2026-05-18 Lilika Makabe , Kohei Ashida , Hiroaki Santo , Fumio Okura , Yasuyuki Matsushita

Multi-camera systems are increasingly vital in the environmental perception of autonomous vehicles and robotics. Their physical configuration offers inherent fixed relative pose constraints that benefit Structure-from-Motion (SfM). However,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Peilin Tao , Hainan Cui , Diantao Tu , Shuhan Shen

The paper gives an overview of the problems and methods of recovery of structure and motion parameters of rigid bodies from multiframes.

Computer Vision and Pattern Recognition · Computer Science 2018-12-03 Mieczysław A. Kłopotek

Non-Rigid Structure-from-Motion (NRSfM) problem aims to recover 3D geometry of a deforming object from its 2D feature correspondences across multiple frames. Classical approaches to this problem assume a small number of feature points and,…

Computer Vision and Pattern Recognition · Computer Science 2020-06-17 Suryansh Kumar , Luc Van Gool , Carlos E. P. de Oliveira , Anoop Cherian , Yuchao Dai , Hongdong Li