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Related papers: Multi-body Non-rigid Structure-from-Motion

200 papers

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

Non-Rigid structure from motion (NRSfM), is a long standing and central problem in computer vision and its solution is necessary for obtaining 3D information from multiple images when the scene is dynamic. A main issue regarding the further…

Computer Vision and Pattern Recognition · Computer Science 2020-11-12 Sebastian Hoppe Nesgaard Jensen , Mads Emil Brix Doest , Henrik Aanaes , Alessio Del Bue

Recovery of articulated 3D structure from 2D observations is a challenging computer vision problem with many applications. Current learning-based approaches achieve state-of-the-art accuracy on public benchmarks but are restricted to…

Computer Vision and Pattern Recognition · Computer Science 2019-11-13 Onorina Kovalenko , Vladislav Golyanik , Jameel Malik , Ahmed Elhayek , Didier Stricker

All current non-rigid structure from motion (NRSfM) algorithms are 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 2019-03-01 Chen Kong , Simon Lucey

Non-Rigid Structure-from-Motion (NRSfM) is a classic 3D vision problem, where a 2D sequence is taken as input to estimate the corresponding 3D sequence. Recently, the deep neural networks have greatly advanced the task of NRSfM. However,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-11 Hui Deng , Jiawei Shi , Zhen Qin , Yiran Zhong , Yuchao Dai

This paper proposes a simple spatial-temporal smoothness based method for solving dense non-rigid structure-from-motion (NRSfM). First, we revisit the temporal smoothness and demonstrate that it can be extended to dense case directly.…

Computer Vision and Pattern Recognition · Computer Science 2017-06-28 Yuchao Dai , Huizhong Deng , Mingyi He

Structure from motion (SfM) is an essential computer vision problem which has not been well handled by deep learning. One of the promising trends is to apply explicit structural constraint, e.g. 3D cost volume, into the network. However,…

Computer Vision and Pattern Recognition · Computer Science 2020-08-11 Xingkui Wei , Yinda Zhang , Zhuwen Li , Yanwei Fu , Xiangyang Xue

A recent trend in Non-Rigid Structure-from-Motion (NRSfM) is to express local, differential constraints between pairs of images, from which the surface normal at any point can be obtained by solving a system of polynomial equations. The…

Computer Vision and Pattern Recognition · Computer Science 2021-07-14 Shaifali Parashar , Yuxuan Long , Mathieu Salzmann , Pascal Fua

Several methods have been proposed for large-scale 3D reconstruction from large, unorganized image collections. A large reconstruction problem is typically divided into multiple components which are reconstructed independently using…

Computer Vision and Pattern Recognition · Computer Science 2016-10-13 Rajvi Shah , Aditya Deshpande , P J Narayanan

In this paper, we tackle the accurate and consistent Structure from Motion (SfM) problem, in particular camera registration, far exceeding the memory of a single computer in parallel. Different from the previous methods which drastically…

Computer Vision and Pattern Recognition · Computer Science 2017-06-06 Siyu Zhu , Tianwei Shen , Lei Zhou , Runze Zhang , Jinglu Wang , Tian Fang , Long Quan

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

Existing approaches for Structure from Motion (SfM) produce impressive 3-D reconstruction results especially when using imagery captured with large parallax. However, to create engaging video-content in movies and TV shows, the amount by…

Computer Vision and Pattern Recognition · Computer Science 2022-04-07 Sheng Liu , Xiaohan Nie , Raffay Hamid

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

The recovery of 3D shape and pose from 2D landmarks stemming from a large ensemble of images can be viewed as a non-rigid structure from motion (NRSfM) problem. Classical NRSfM approaches, however, are problematic as they rely on heuristic…

Computer Vision and Pattern Recognition · Computer Science 2021-04-01 Chaoyang Wang , Chen-Hsuan Lin , Simon Lucey

While Structure from Motion (SfM) achieves great success in 3D reconstruction, it still meets challenges on large scale scenes. In this work, large scale SfM is deemed as a graph problem, and we tackle it in a divide-and-conquer manner.…

Computer Vision and Pattern Recognition · Computer Science 2020-06-09 Yu Chen , Shuhan Shen , Yisong Chen , Guoping Wang

Kinematic structures are very common in the real world. They range from simple articulated objects to complex mechanical systems. However, despite their relevance, most model-based 3D tracking methods only consider rigid objects. To…

Computer Vision and Pattern Recognition · Computer Science 2023-02-20 Manuel Stoiber , Martin Sundermeyer , Wout Boerdijk , Rudolph Triebel

We revisit scene-level 3D object detection as the output of an object-centric framework capable of both localization and mapping using 3D oriented boxes as the underlying geometric primitive. While existing 3D object detection approaches…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Justin Lazarow , Kai Kang , Afshin Dehghan

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

Reliable displacement measurement is fundamental for structural health monitoring and digital engineering workflows, as it provides direct structural response information. Vision-based measurement has emerged as a promising approach for…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Qingyu Xian , Hao Cheng , Berend Jan van der Zwaag , Rolands Kromanis , Ozlem Durmaz Incel

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