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Structure-from-Motion (SfM) is the task of estimating 3D structure and camera poses from images. We define Collaborative SfM (ColabSfM) as sharing distributed SfM reconstructions. Sharing maps requires estimating a joint reference frame,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Johan Edstedt , André Mateus , Alberto Jaenal

Structure from Motion (SfM) using imagery that involves extreme appearance changes is yet a challenging task due to a loss of feature repeatability. Using feature correspondences obtained by matching densely extracted convolutional neural…

Computer Vision and Pattern Recognition · Computer Science 2018-05-14 Aji Resindra Widya , Akihiko Torii , Masatoshi Okutomi

Context: Characterization of instrumental effects in astronomical imaging is important in order to extract accurate physical information from the observations. The measured image in a real optical instrument is usually represented by the…

Computer Vision and Pattern Recognition · Computer Science 2016-01-12 Adriana Gonzalez , Véronique Delouille , Laurent Jacques

Photometric stereo is a technique for estimating surface normals using images captured under varying illumination. However, conventional frame-based photometric stereo methods are limited in real-world applications due to their reliance on…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Hyunwoo Kim , Won-Hoe Kim , Sanghoon Lee , Jianfei Cai , Giljoo Nam , Jae-Sang Hyun

Structure-from-Motion (SfM) aims to recover 3D scene structures and camera poses based on the correspondences between input images, and thus the ambiguity caused by duplicate structures (i.e., different structures with strong visual…

Computer Vision and Pattern Recognition · Computer Science 2022-06-14 Lei Wang , Linlin Ge , Shan Luo , Zihan Yan , Zhaopeng Cui , Jieqing Feng

We present a pipeline for geomorphological analysis that uses structure from motion (SfM) and deep learning on close-range aerial imagery to estimate spatial distributions of rock traits (size, roundness, and orientation) along a tectonic…

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

Astrometric detection involves a precise measurement of stellar positions, and is widely regarded as the leading concept presently ready to find earth-mass planets in temperate orbits around nearby sun-like stars. The TOLIMAN space…

This paper describes the architecture and demonstrates the capabilities of a newly developed, physically-based imaging simulator environment called SISPO, developed for small solar system body fly-by and terrestrial planet surface mission…

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

This work introduces the Spacecraft Pose Network (SPN) for on-board estimation of the pose, i.e., the relative position and attitude, of a known non-cooperative spacecraft using monocular vision. In contrast to other state-of-the-art pose…

Computer Vision and Pattern Recognition · Computer Science 2019-06-25 Sumant Sharma , Simone D'Amico

Recovering structure and motion parameters given a image pair or a sequence of images is a well studied problem in computer vision. This is often achieved by employing Structure from Motion (SfM) or Simultaneous Localization and Mapping…

Computer Vision and Pattern Recognition · Computer Science 2018-11-07 Thanuja Dharmasiri , Andrew Spek , Tom Drummond

We propose a new structure-from-motion framework to recover accurate camera poses and point clouds from unordered images. Traditional SfM systems typically rely on the successful detection of repeatable keypoints across multiple views as…

Computer Vision and Pattern Recognition · Computer Science 2023-06-28 Xingyi He , Jiaming Sun , Yifan Wang , Sida Peng , Qixing Huang , Hujun Bao , Xiaowei Zhou

Dynamic human rendering from video sequences has achieved remarkable progress by formulating the rendering as a mapping from static poses to human images. However, existing methods focus on the human appearance reconstruction of every…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Tao Hu , Fangzhou Hong , Ziwei Liu

The structure from motion (SfM) problem in computer vision is the problem of recovering the three-dimensional ($3$D) structure of a stationary scene from a set of projective measurements, represented as a collection of two-dimensional…

Computer Vision and Pattern Recognition · Computer Science 2017-05-10 Onur Ozyesil , Vladislav Voroninski , Ronen Basri , Amit Singer

This paper presents a technique for finding the surface normal of an object from a set of images obtained under different lighting positions. The method presented is based on the principles of Photometric Stereo (PS) combined with Optimum…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Hamza Gardi , Sebastian F. Walter , Christoph S. Garbe

The search for the model or ingredients that describe the current vision of our cosmos has led to the creation of a set of highly favorable experiments, and therefore a great flow of information. Due to this torrent of information and the…

Cosmology and Nongalactic Astrophysics · Physics 2025-08-11 Daniel Morales Hernández , Gabriela Garcia-Arroyo , J. Alberto Vazquez

The in-flight calibration and performance of the Solar Disk Imager (SDI), which is a pivotal instrument of the Lyman-alpha Solar Telescope (LST) onboard the Advanced Space-based Solar Observatory (ASO-S) mission, suggested a much lower…

Solar and Stellar Astrophysics · Physics 2025-01-03 Hui Liu , Hui Li , Sizhong Zou , Kaifan Ji , Zhenyu Jin , Jiahui Shan , Jingwei Li , Guanglu Shi , Yu Huang , Li Feng , Jianchao Xue , Qiao Li , Dechao Song , Ying Li

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

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 2023-06-27 San Jiang , Kan You , Yaxin Li , Duojie Weng , Wu Chen