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相关论文: An Epipolar Line from a Single Pixel

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It is known that epipolar geometry can be computed from three epipolar line correspondences but this computation is rarely used in practice since there are no simple methods to find corresponding lines. Instead, methods for finding…

计算机视觉与模式识别 · 计算机科学 2017-01-10 Gil Ben-Artzi , Tavi Halperin , Michael Werman , Shmuel Peleg

Computing the epipolar geometry between cameras with very different viewpoints is often problematic as matching points are hard to find. In these cases, it has been proposed to use information from dynamic objects in the scene for…

计算机视觉与模式识别 · 计算机科学 2017-01-10 Gil Ben-Artzi , Yoni Kasten , Shmuel Peleg , Michael Werman

Computing the epipolar geometry between cameras with very different viewpoints is often very difficult. The appearance of objects can vary greatly, and it is difficult to find corresponding feature points. Prior methods searched for…

计算机视觉与模式识别 · 计算机科学 2017-01-04 Yoni Kasten , Gil Ben-Artzi , Shmuel Peleg , Michael Werman

Extracting point correspondences from two or more views of a scene is a fundamental computer vision problem with particular importance for relative camera pose estimation and structure-from-motion. Existing local feature matching…

计算机视觉与模式识别 · 计算机科学 2024-01-22 Dominik A. Kloepfer , João F. Henriques , Dylan Campbell

We address the problem of epipolar geometry using the motion of silhouettes. Such methods match epipolar lines or frontier points across views, which are then used as the set of putative correspondences. We introduce an approach that…

计算机视觉与模式识别 · 计算机科学 2017-04-17 Gil Ben-Artzi

Accurately estimating camera motion from image sequences poses a significant challenge in computer vision and robotics. Many computer vision methods first compute the essential matrix associated with a motion and then extract orientation…

系统与控制 · 电气工程与系统科学 2024-03-12 Tarek Bouazza , Robert Mahony , Tarek Hamel

Video generation models have progressed tremendously through large latent diffusion transformers trained with rectified flow techniques. Yet these models still struggle with geometric inconsistencies, unstable motion, and visual artifacts…

计算机视觉与模式识别 · 计算机科学 2025-10-27 Orest Kupyn , Fabian Manhardt , Federico Tombari , Christian Rupprecht

Deep approaches to predict monocular depth and ego-motion have grown in recent years due to their ability to produce dense depth from monocular images. The main idea behind them is to optimize the photometric consistency over image…

机器人学 · 计算机科学 2019-01-08 Vignesh Prasad , Dipanjan Das , Brojeshwar Bhowmick

We present four methods for recovering the epipolar geometry from images of smooth surfaces. In the existing methods for recovering epipolar geometry corresponding feature points are used that cannot be found in such images. The first…

计算机视觉与模式识别 · 计算机科学 2013-06-24 Oleg Kupervasser

We describe a special case of structure from motion where the camera rotates on a sphere. The camera's optical axis lies perpendicular to the sphere's surface. In this case, the camera's pose is minimally represented by three rotation…

计算机视觉与模式识别 · 计算机科学 2016-09-06 Jonathan Ventura

Image feature matching plays a vital role in many computer vision tasks. Although many image feature detection and matching techniques have been proposed over the past few decades, it is still time-consuming to match feature points in two…

计算机视觉与模式识别 · 计算机科学 2025-10-14 Chin-Hung Teng , Ben-Jian Dong

Novel-view synthesis (NVS) can be tackled through different approaches, depending on the general setting: a single source image to a short video sequence, exact or noisy camera pose information, 3D-based information such as point clouds…

计算机视觉与模式识别 · 计算机科学 2022-10-25 Gaétan Landreau , Mohamed Tamaazousti

Image stitching with parallax is still a challenging task. Existing methods often struggle to maintain both the local and global structures of the image while reducing alignment artifacts and warping distortions. In this paper, we propose a…

计算机视觉与模式识别 · 计算机科学 2024-05-14 Jian Yu , Feipeng Da

Geometric camera calibration is often required for applications that understand the perspective of the image. We propose perspective fields as a representation that models the local perspective properties of an image. Perspective Fields…

计算机视觉与模式识别 · 计算机科学 2023-03-17 Linyi Jin , Jianming Zhang , Yannick Hold-Geoffroy , Oliver Wang , Kevin Matzen , Matthew Sticha , David F. Fouhey

We study how to synthesize novel views of human body from a single image. Though recent deep learning based methods work well for rigid objects, they often fail on objects with large articulation, like human bodies. The core step of…

计算机视觉与模式识别 · 计算机科学 2018-04-13 Hao Zhu , Hao Su , Peng Wang , Xun Cao , Ruigang Yang

Light field cameras record not only the spatial information of observed scenes but also the directions of all incoming light rays. The spatial and angular information implicitly contain geometrical characteristics such as multi-view or…

计算机视觉与模式识别 · 计算机科学 2022-03-29 Kunyuan Li , Jun Zhang , Rui Sun , Xudong Zhang , Jun Gao

Video frame interpolation aims to synthesize one or multiple frames between two consecutive frames in a video. It has a wide range of applications including slow-motion video generation, frame-rate up-scaling and developing video codecs.…

计算机视觉与模式识别 · 计算机科学 2022-04-14 Saikat Dutta , Arulkumar Subramaniam , Anurag Mittal

We propose a method for guiding a photographer to rotate her/his smartphone camera to obtain an image that overlaps with another image of the same scene. The other image is taken by another photographer from a different viewpoint. Our…

计算机视觉与模式识别 · 计算机科学 2015-05-20 Lior Talker , Yael Moses , Ilan Shimshoni

Novel view synthesis from a single image has been a cornerstone problem for many Virtual Reality applications that provide immersive experiences. However, most existing techniques can only synthesize novel views within a limited range of…

计算机视觉与模式识别 · 计算机科学 2023-03-31 Hung-Yu Tseng , Qinbo Li , Changil Kim , Suhib Alsisan , Jia-Bin Huang , Johannes Kopf

Human has an incredible ability to effortlessly perceive the viewpoint difference between two images containing the same object, even when the viewpoint change is astonishingly vast with no co-visible regions in the images. This remarkable…

计算机视觉与模式识别 · 计算机科学 2024-02-06 Yujing Sun , Caiyi Sun , Yuan Liu , Yuexin Ma , Siu Ming Yiu
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