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Related papers: Geometric Models of Rolling-Shutter Cameras

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Research on monocular 3D object detection is being actively studied, and as a result, performance has been steadily improving. However, 3D object detection performance is significantly reduced when applied to a camera system different from…

Computer Vision and Pattern Recognition · Computer Science 2023-10-10 SungHo Moon , JinWoo Bae , SungHoon Im

In this work, we propose an extension of conventional image data by an additional channel in which the associated projection properties are encoded. This addresses the issue of sensor-dependent object representation in projection-based…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Hannes Reichert , Manuel Hetzel , Steven Schreck , Konrad Doll , Bernhard Sick

The line is a prevalent element in man-made environments, inherently encoding spatial structural information, thus making it a more robust choice for feature representation in practical applications. Despite its apparent advantages,…

Computer Vision and Pattern Recognition · Computer Science 2024-08-13 Yongcong Zhang , Bangyan Liao , Yifei Xue , Chen Lu , Peidong Liu , Yizhen Lao

Muon imaging is one of the most promising non-invasive techniques for density structure scanning, specially for large objects reaching the kilometre scale. It has already interesting applications in different fields like geophysics or…

Instrumentation and Detectors · Physics 2017-12-14 H. Gómez , D. Gibert , C. Goy , K. Jourde , Y. Karyotakis , S. Katsanevas , J. Marteau , M. Rosas-Carbajal , A. Tonazzo

Structure from Motion (SfM) is a critical task in computer vision, aiming to recover the 3D scene structure and camera motion from a sequence of 2D images. The recent pose-only imaging geometry decouples 3D coordinates from camera poses and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Xinrui Li , Qi Cai , Yuanxin Wu

In many robotics applications, it is necessary to compute not only the distance between the robot and the environment, but also its derivative - for example, when using control barrier functions. However, since the traditional Euclidean…

Common computer vision systems typically assume ideal pinhole cameras but fail when facing real-world camera effects such as fisheye distortion and rolling shutter, mainly due to the lack of learning from training data with camera effects.…

Computer Vision and Pattern Recognition · Computer Science 2025-10-22 Yi-Ruei Liu , You-Zhe Xie , Yu-Hsiang Hsu , I-Sheng Fang , Yu-Lun Liu , Jun-Cheng Chen

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

Given a planar curve, imagine rolling a sphere along that curve without slipping or twisting, and by this means tracing out a curve on the sphere. It is well known that such a rolling operation induces a local isometry between the sphere…

Statistics Theory · Mathematics 2026-02-17 Simon Preston , Karthik Bharath , Pablo Lopez-Custodio , Alfred Kume

Rotating modulation is a technique for indirect imaging in the hard x-ray and soft gamma-ray energy bands, which may offer an advantage over coded aperture imaging at high energies. A rotating modulator (RM) consists of a single mask of…

Instrumentation and Methods for Astrophysics · Physics 2011-04-15 Brent S. Budden , Mark R. Budden , Gary L. Case , Michael L. Cherry

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

We propose Camera Splatting, a novel view optimization framework for novel view synthesis. Each camera is modeled as a 3D Gaussian, referred to as a camera splat, and virtual cameras, termed point cameras, are placed at 3D points sampled…

Computer Vision and Pattern Recognition · Computer Science 2025-09-22 Gahye Lee , Hyomin Kim , Gwangjin Ju , Jooeun Son , Hyejeong Yoon , Seungyong Lee

With the ubiquity of rolling shutter (RS) cameras, it is becoming increasingly attractive to recover the latent global shutter (GS) video from two consecutive RS frames, which also places a higher demand on realism. Existing solutions,…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Bin Fan , Yuchao Dai , Zhiyuan Zhang , Qi Liu , Mingyi He

We introduce a novel camera model for monocular 3D Morphable Model (3DMM) regression methods that effectively captures the perspective distortion effect commonly seen in close-up facial images. Fitting 3D morphable models to video is a key…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Toby Chong , Ryota Nakajima

Most consumer cameras use rolling shutter (RS) exposure, which often leads to distortions such as skew and jelly effects. These videos are further limited by bandwidth and frame rate constraints. In this paper, we explore the potential of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Yunfan Lu , Guoqiang Liang , Yiran Shen , Lin Wang

Interesting data often concentrate on low dimensional smooth manifolds inside a high dimensional ambient space. Random projections are a simple, powerful tool for dimensionality reduction of such data. Previous works have studied bounds on…

Machine Learning · Statistics 2016-09-13 Subhaneil Lahiri , Peiran Gao , Surya Ganguli

This paper proposes a novel advanced motion model to handle the irregular motion for the cubic map projection of 360-degree video. Since the irregular motion is mainly caused by the projection from the sphere to the cube map, we first try…

Multimedia · Computer Science 2017-02-22 Li Li , Zhu Li , Madhukar Budagavi , Houqiang Li

Articulated objects (e.g., doors and drawers) exist everywhere in our life. Different from rigid objects, articulated objects have higher degrees of freedom and are rich in geometries, semantics, and part functions. Modeling different kinds…

Computer Vision and Pattern Recognition · Computer Science 2023-11-22 Yushi Du , Ruihai Wu , Yan Shen , Hao Dong

In this paper, we extend the previous convergence results for the generalized alternating projection method applied to subspaces in [arXiv:1703.10547] to hold also for smooth manifolds. We show that the algorithm locally behaves similarly…

Optimization and Control · Mathematics 2024-04-10 Mattias Fält , Pontus Giselsson

A basic problem in computer vision is to understand the structure of a real-world scene given several images of it. Here we study several theoretical aspects of the intra multi-view geometry of calibrated cameras when all that they can…

Computer Vision and Pattern Recognition · Computer Science 2019-12-02 Danail Brezov , Michael Werman
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