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Related papers: Structure from Motion on a Sphere

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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

We tackle the problem of automatically reconstructing a complete 3D model of a scene from a single RGB image. This challenging task requires inferring the shape of both visible and occluded surfaces. Our approach utilizes viewer-centered,…

Computer Vision and Pattern Recognition · Computer Science 2019-08-28 Daeyun Shin , Zhile Ren , Erik B. Sudderth , Charless C. Fowlkes

Thin structures, such as wire-frame sculptures, fences, cables, power lines, and tree branches, are common in the real world. It is extremely challenging to acquire their 3D digital models using traditional image-based or depth-based…

Graphics · Computer Science 2020-05-21 Peng Wang , Lingjie Liu , Nenglun Chen , Hung-Kuo Chu , Christian Theobalt , Wenping Wang

Recent advances in structure-from-motion techniques are enabling many scientific fields to benefit from the routine creation of detailed 3D models. However, for a large number of applications, only a single camera is available, due to cost…

Computer Vision and Pattern Recognition · Computer Science 2019-06-20 Klemen Istenic , Nuno Gracias , Aurelien Arnaubec , Javier Escartin , Rafael Garcia

Video Frame Interpolation synthesizes non-existent images between adjacent frames, with the aim of providing a smooth and consistent visual experience. Two approaches for solving this challenging task are optical flow based and kernel-based…

Computer Vision and Pattern Recognition · Computer Science 2021-05-13 Xi Li , Meng Cao , Yingying Tang , Scott Johnston , Zhendong Hong , Huimin Ma , Jiulong Shan

In moving camera videos, motion segmentation is commonly performed using the image plane motion of pixels, or optical flow. However, objects that are at different depths from the camera can exhibit different optical flows even if they share…

Computer Vision and Pattern Recognition · Computer Science 2015-11-06 Manjunath Narayana , Allen Hanson , Erik Learned-Miller

Underwater cameras are typically placed behind glass windows to protect them from the water. Spherical glass, a dome port, is well suited for high water pressures at great depth, allows for a large field of view, and avoids refraction if a…

Computer Vision and Pattern Recognition · Computer Science 2021-12-15 Mengkun She , David Nakath , Yifan Song , Kevin Köser

Event sensors offer high temporal resolution visual sensing, which makes them ideal for perceiving fast visual phenomena without suffering from motion blur. Certain applications in robotics and vision-based navigation require 3D perception…

Computer Vision and Pattern Recognition · Computer Science 2024-05-13 Ethan Elms , Yasir Latif , Tae Ha Park , Tat-Jun Chin

We propose a novel method for estimating the global rotations of the cameras independently of their positions and the scene structure. When two calibrated cameras observe five or more of the same points, their relative rotation can be…

Computer Vision and Pattern Recognition · Computer Science 2021-03-30 Seong Hun Lee , Javier Civera

With the boost in the number of spacecraft launches in the current decades, the space debris problem is daily becoming significantly crucial. For sustainable space utilization, the continuous removal of space debris is the most severe…

Robotics · Computer Science 2024-08-05 Kentaro Uno , Takehiro Matsuoka , Akiyoshi Uchida , Kazuya Yoshida

In this paper alternative method for real-time 3D model rasterization is given. Surfaces are drawn in perspective-map space which acts as a virtual camera lens. It can render single-pass 360{\deg} angle of view (AOV) image of unlimited…

Graphics · Computer Science 2020-10-20 Jakub Maksymilian Fober

Recovering 3D structure and camera motion from images has been a long-standing focus of computer vision research and is known as Structure-from-Motion (SfM). Solutions to this problem are categorized into incremental and global approaches.…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Linfei Pan , Dániel Baráth , Marc Pollefeys , Johannes L. Schönberger

We provide criteria for deciding whether a given planar curve is an image of a given spatial curve, obtained by a central or a parallel projection with unknown parameters. These criteria reduce the projection problem to a certain…

Computer Vision and Pattern Recognition · Computer Science 2015-03-14 Joseph M. Burdis , Irina A. Kogan

This paper provides a comprehensive survey on pioneer and state-of-the-art 3D scene geometry estimation methodologies based on single, two, or multiple images captured under the omnidirectional optics. We first revisit the basic concepts of…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Thiago Lopes Trugillo da Silveira , Paulo Gamarra Lessa Pinto , Jeffri Erwin Murrugarra Llerena , Claudio Rosito Jung

We introduce a new method for location recovery from pair-wise directions that leverages an efficient convex program that comes with exact recovery guarantees, even in the presence of adversarial outliers. When pairwise directions represent…

Computer Vision and Pattern Recognition · Computer Science 2016-08-09 Thomas Goldstein , Paul Hand , Choongbum Lee , Vladislav Voroninski , Stefano Soatto

In this paper we propose a new flexible method for hand-eye calibration. The vast majority of existing hand-eye calibration techniques requires a calibration rig which is used in conjunction with camera pose estimation methods. Instead, we…

Robotics · Computer Science 2023-11-22 Nicolas Andreff , Radu Horaud , Bernard Espiau

Given a set of point correspondences in two images, the existence of a fundamental matrix is a necessary condition for the points to be the images of a 3-dimensional scene imaged with two pinhole cameras. If the camera calibration is known…

Computer Vision and Pattern Recognition · Computer Science 2014-07-22 Sameer Agarwal , Hon-leung Lee , Bernd Sturmfels , Rekha R. Thomas

Reconstructing the surfaces of deformable objects from correspondences between a 3D template and a 2D image is well studied under Shape-from-Template (SfT) methods; however, existing approaches break down when topological changes accompany…

Computer Vision and Pattern Recognition · Computer Science 2025-11-06 Kevin Manogue , Tomasz M Schang , Dilara Kuş , Jonas Müller , Stefan Zachow , Agniva Sengupta

We introduce a visual motion segmentation method employing spherical geometry for fisheye cameras and automoated driving. Three commonly used geometric constraints in pin-hole imagery (the positive height, positive depth and epipolar…

Computer Vision and Pattern Recognition · Computer Science 2022-08-10 Letizia Mariotti , Ciaran Eising

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