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Related papers: Structure and Motion from Multiframes

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This paper focuses on rotational phenomena of rigid body kinematics. It discusses them in a group-theoretic approach as completely as possible, using methods and notations as intuitive as possible. With a review of current literature, this…

Classical Physics · Physics 2025-12-10 Ziyuan Wang

The idea of video super resolution is to use different view points of a single scene to enhance the overall resolution and quality. Classical energy minimization approaches first establish a correspondence of the current frame to all its…

Computer Vision and Pattern Recognition · Computer Science 2017-12-05 Jonas Geiping , Hendrik Dirks , Daniel Cremers , Michael Moeller

Dynamic multi-person mesh recovery has broad applications in sports broadcasting, virtual reality, and video games. However, current multi-view frameworks rely on a time-consuming camera calibration procedure. In this work, we focus on…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Buzhen Huang , Jingyi Ju , Yuan Shu , Yangang Wang

Experimental results on hadronic structures are discussed in view of our physics understanding. Achievements and challenges are noted.

High Energy Physics - Experiment · Physics 2007-05-23 Martin Erdmann

This paper presents a method of computing free motions of a planar assembly of rigid bodies connected by loose joints. Joints are modeled using local distance constraints, which are then linearized with respect to configuration space…

At the present work we consider an application of the deformation procedure that enable us to construct, systematically, scalar field models supporting multikinks. We introduce a new deformation function in order to realize this task. We…

High Energy Physics - Theory · Physics 2015-06-19 G. P. de Brito , A. de Souza Dutra

This article describes the implementation of the joint motion estimation and image reconstruction framework presented by Burger, Dirks and Sch\"onlieb and extends this framework to large-scale motion between consecutive image frames. The…

Computer Vision and Pattern Recognition · Computer Science 2016-11-01 Hendrik Dirks

3D dense reconstruction refers to the process of obtaining the complete shape and texture features of 3D objects from 2D planar images. 3D reconstruction is an important and extensively studied problem, but it is far from being solved. This…

Computer Vision and Pattern Recognition · Computer Science 2023-04-20 Yangming Li

We are working towards 3D reconstruction of indoor spaces using a pair of HDR cameras in a stereo vision configuration mounted on an indoor mobile floor robot that captures various textures and spatial features as 2D images and this data is…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Kshitij Karnawat , Hritvik Choudhari , Abhimanyu Saxena , Mudit Singal , Raajith Gadam

This paper has been inspired by ideas presented by V. V. Kozlov in his works [19, 20]. In this paper our goal is to carry out a thorough analysis of some geometric problems of the dynamics of affinely-rigid bodies. We present two ways to…

Mathematical Physics · Physics 2014-07-10 Barbara Gołubowska

A manifestation of the three-body forces in multiparticle dynamics is discussed. The minireview of our recent results has been presented.

High Energy Physics - Phenomenology · Physics 2017-08-23 A. A. Arkhipov

We propose CrossHuman, a novel method that learns cross-guidance from parametric human model and multi-frame RGB images to achieve high-quality 3D human reconstruction. To recover geometry details and texture even in invisible regions, we…

Computer Vision and Pattern Recognition · Computer Science 2022-07-21 Liliang Chen , Jiaqi Li , Han Huang , Yandong Guo

A solvable many-body problem in the plane is exhibited. It is characterized by rotation-invariant Newtonian (``acceleration equal force'') equations of motion, featuring one-body (``external'') and pair (``interparticle'') forces. The…

Mathematical Physics · Physics 2015-06-26 Francesco Calogero

Abrupt motion of camera or objects in a scene result in a blurry video, and therefore recovering high quality video requires two types of enhancements: visual enhancement and temporal upsampling. A broad range of research attempted to…

Computer Vision and Pattern Recognition · Computer Science 2021-03-11 Dawit Mureja Argaw , Junsik Kim , Francois Rameau , In So Kweon

We propose a method for jointly estimating the 3D motion, 3D shape, and appearance of highly motion-blurred objects from a video. To this end, we model the blurred appearance of a fast moving object in a generative fashion by parametrizing…

Computer Vision and Pattern Recognition · Computer Science 2022-04-08 Denys Rozumnyi , Martin R. Oswald , Vittorio Ferrari , Marc Pollefeys

In this paper, we present a novel framework designed to reconstruct long-sequence 3D human motion in the world coordinates from in-the-wild videos with multiple shot transitions. Such long-sequence in-the-wild motions are highly valuable to…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Yuhong Zhang , Guanlin Wu , Ling-Hao Chen , Zhuokai Zhao , Jing Lin , Xiaoke Jiang , Jiamin Wu , Zhuoheng Li , Hao Frank Yang , Haoqian Wang , Lei Zhang

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 consider the problem of reconstructing a 3-D scene from a moving camera with high frame rate using the affine projection model. This problem is traditionally known as Affine Structure from Motion (Affine SfM), and can be solved using an…

Computer Vision and Pattern Recognition · Computer Science 2016-08-10 Roberto Tron

A novel modular modeling and control framework based on Lagrangian mechanics is proposed for multibody systems, motivated by the challenges of modular control of systems with closed kinematic chains and by the need for a modeling framework…

Systems and Control · Electrical Eng. & Systems 2026-03-31 Mohammad Dastranj , Jouni Mattila

Motion is one of the main sources for artifacts in magnetic resonance (MR) images. It can have significant consequences on the diagnostic quality of the resultant scans. Previously, supervised adversarial approaches have been suggested for…

Image and Video Processing · Electrical Eng. & Systems 2020-12-29 Karim Armanious , Aastha Tanwar , Sherif Abdulatif , Thomas Küstner , Sergios Gatidis , Bin Yang
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