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Platforms such as robots, security cameras, drones and satellites are used in multi-view imaging for three-dimensional (3D) recovery by stereoscopy or tomography. Each camera in the setup has a field of view (FOV). Multi-view analysis…

Computer Vision and Pattern Recognition · Computer Science 2024-08-01 Vadim Holodovsky , Masada Tzabari , Yoav Schechner , Alex Frid , Klaus Schilling

This paper introduces a general approach to dynamic scene reconstruction from multiple moving cameras without prior knowledge or limiting constraints on the scene structure, appearance, or illumination. Existing techniques for dynamic scene…

Computer Vision and Pattern Recognition · Computer Science 2015-10-01 Armin Mustafa , Hansung Kim , Jean-Yves Guillemaut , Adrian Hilton

The paper studies planar surface reconstruction of indoor scenes from two views with unknown camera poses. While prior approaches have successfully created object-centric reconstructions of many scenes, they fail to exploit other…

Computer Vision and Pattern Recognition · Computer Science 2021-08-23 Linyi Jin , Shengyi Qian , Andrew Owens , David F. Fouhey

Let $P$ be a set of points and $L$ a set of lines in the (extended) Euclidean plane, and $I \subseteq P\times L$, where $i =(p,l) \in I$ means that point $p$ and line $l$ are incident. The incidences can be interpreted as quadratic…

The inverse problem of designing component interactions to target emergent structure is fundamental to numerous applications in biotechnology, materials science, and statistical physics. Equally important is the inverse problem of designing…

Computational Physics · Physics 2020-11-20 Carl P. Goodrich , Ella M. King , Samuel S. Schoenholz , Ekin D. Cubuk , Michael Brenner

This paper addresses the problem of Structure from Motion (SfM) for indoor panoramic image streams, extremely challenging even for the state-of-the-art due to the lack of textures and minimal parallax. The key idea is the fusion of…

Computer Vision and Pattern Recognition · Computer Science 2016-12-06 Satoshi Ikehata , Ivaylo Boyadzhiev , Qi Shan , Yasutaka Furukawa

Visual localization is the problem of estimating the camera pose of a given query image within a known scene. Most state-of-the-art localization approaches follow the structure-based paradigm and use 2D-3D matches between pixels in a query…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Vojtech Panek , Torsten Sattler , Zuzana Kukelova

This paper focuses on spatially consistent hundreds of human pose and shape reconstruction from a single large-scene image with various human scales under arbitrary camera FoVs (Fields of View). Due to the small and highly varying 2D human…

Computer Vision and Pattern Recognition · Computer Science 2025-05-26 Jing Huang , Hao Wen , Tianyi Zhou , Haozhe Lin , Yu-kun Lai , Kun Li

Convex geometries form a subclass of closure systems with unique criticals, or $UC$-systems. We show that the $F$-basis introduced in [1] for $UC$-systems, becomes optimum in convex geometries, in two essential parts of the basis: right…

Optimization and Control · Mathematics 2016-02-02 Kira Adaricheva

We present a novel method to infer, in closed-form, a general 3D spatial occupancy and orientation of a collection of rigid objects given 2D image detections from a sequence of images. In particular, starting from 2D ellipses fitted to…

Computer Vision and Pattern Recognition · Computer Science 2015-07-21 Cosimo Rubino , Marco Crocco , Alessandro Perina , Vittorio Murino , Alessio Del Bue

Decomposition of tomographic reconstructions has many different practical application. We propose two new reconstruction methods that combines the task of tomographic reconstruction with object decomposition. We demonstrate these…

Computational Engineering, Finance, and Science · Computer Science 2017-08-25 Rasmus Dalgas Kongskov , Yiqiu Dong

This paper introduces a new approach for the automated reconstruction - reassembly of fragmented objects having one surface near to plane, on the basis of the 3D representation of their constituent fragments. The whole process starts by 3D…

Recovering the spatial layout of the cameras and the geometry of the scene from extreme-view images is a longstanding challenge in computer vision. Prevailing 3D reconstruction algorithms often adopt the image matching paradigm and presume…

Computer Vision and Pattern Recognition · Computer Science 2022-06-17 Wei-Chiu Ma , Anqi Joyce Yang , Shenlong Wang , Raquel Urtasun , Antonio Torralba

Most consumer cameras are equipped with electronic rolling shutter, leading to image distortions when the camera moves during image capture. We explore a surprisingly simple camera configuration that makes it possible to undo the rolling…

Computer Vision and Pattern Recognition · Computer Science 2020-06-04 Cenek Albl , Zuzana Kukelova , Viktor Larsson , Tomas Pajdla , Konrad Schindler

This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-based approach to learn a correspondence structure which…

Computer Vision and Pattern Recognition · Computer Science 2023-07-19 Weiyao Lin , Yang Shen , Junchi Yan , Mingliang Xu , Jianxin Wu , Jingdong Wang , Ke Lu

The plenoptic camera can capture both angular and spatial information of the rays, enabling 3D reconstruction by single exposure. The geometry of the recovered scene structure is affected by the calibration of the plenoptic camera…

Computer Vision and Pattern Recognition · Computer Science 2016-08-17 Chunping Zhang , Zhe Ji , Qing Wang

Two-view structure-from-motion (SfM) is the cornerstone of 3D reconstruction and visual SLAM. Existing deep learning-based approaches formulate the problem by either recovering absolute pose scales from two consecutive frames or predicting…

Computer Vision and Pattern Recognition · Computer Science 2021-04-02 Jianyuan Wang , Yiran Zhong , Yuchao Dai , Stan Birchfield , Kaihao Zhang , Nikolai Smolyanskiy , Hongdong Li

We study how an irreducible closed algebraic curve X embedded in CP^3 can be recovered using its projections from points onto embedded projective planes. The different embeddings are unknown. The only input is the defining equation of each…

Algebraic Geometry · Mathematics 2007-05-23 M. Fryers , J. Y. Kaminski , M. Teicher

This paper investigates singular configurations of the P3P problem. Using local dual space, a systematic algebraic-computational framework is proposed to give a complete geometric stratification for the P3P singular configurations with…

Computer Vision and Pattern Recognition · Computer Science 2026-02-16 Xueying Sun , Zijia Li , Nan Li

The internal calibration of a pinhole camera is given by five parameters that are combined into an upper-triangular $3\times 3$ calibration matrix. If the skew parameter is zero and the aspect ratio is equal to one, then the camera is said…

Computer Vision and Pattern Recognition · Computer Science 2018-10-30 Evgeniy Martyushev
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