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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

Accurately calibrating light field camera is essential to its applications. Rapid progress has been made in this area in the past decades. In this paper, detailed analysis was first performed towards the state of the art projection models…

Computer Vision and Pattern Recognition · Computer Science 2021-03-11 Dongyang Jin , Saiping Zhang , Xiao Huo , Wei Zhang , Fuzheng Yang

The ability to create an accurate three-dimensional reconstruction of a captured scene draws attention to the principles of light fields. This paper presents an approach for light field camera calibration and rectification, based on…

Computer Vision and Pattern Recognition · Computer Science 2021-06-14 Yuriy Anisimov , Gerd Reis , Didier Stricker

The light field camera is useful for computer graphics and vision applications. Calibration is an essential step for these applications. After calibration, we can rectify the captured image by using the calibrated camera parameters.…

Computer Vision and Pattern Recognition · Computer Science 2014-07-17 Yichao Xu , Kazuki Maeno , Hajime Nagahara , Rin-ichiro Taniguchi

Light field presents a rich way to represent the 3D world by capturing the spatio-angular dimensions of the visual signal. However, the popular way of capturing light field (LF) via a plenoptic camera presents spatio-angular resolution…

Computer Vision and Pattern Recognition · Computer Science 2019-10-22 Anil Kumar Vadathya , Sharath Girish , Kaushik Mitra

Light field cameras capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post-capture refocus, to depth estimation and image-based…

Computer Vision and Pattern Recognition · Computer Science 2018-08-01 Mattia Rossi , Pascal Frossard

Conventional multi-projector calibration requires projecting and capturing structured light patterns for each projector sequentially, causing calibration time and effort to increase linearly with the number of projectors. This scalability…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Takumi Kawano , Kohei Miura , Daisuke Iwai

Camera calibration is a necessity in various tasks including 3D reconstruction, hand-eye coordination for a robotic interaction, autonomous driving, etc. In this work we propose a novel method to predict extrinsic (baseline, pitch, and…

Computer Vision and Pattern Recognition · Computer Science 2022-12-20 Talha Hanif Butt , Murtaza Taj

Light-field cameras allow the acquisition of both the spatial and angular components of the light. This has a wide range of applications from image refocusing to 3D reconstruction of a scene. The conventional way to perform such…

Light-field microscopy represents a promising solution for microscopic volumetric imaging, thanks to its capability to encode information on multiple planes in a single acquisition. This is achieved through its peculiar simultaneous capture…

For a number of tasks, such as 3D reconstruction, robotic interface, autonomous driving, etc., camera calibration is essential. In this study, we present a unique method for predicting intrinsic (principal point offset and focal length) and…

Computer Vision and Pattern Recognition · Computer Science 2022-12-26 Talha Hanif Butt , Murtaza Taj

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…

Computer Vision and Pattern Recognition · Computer Science 2023-03-17 Linyi Jin , Jianming Zhang , Yannick Hold-Geoffroy , Oliver Wang , Kevin Matzen , Matthew Sticha , David F. Fouhey

Recovering 3D geometry of underwater scenes is challenging because of non-linear refraction of light at the water-air interface caused by the camera housing. We present a light field-based approach that leverages properties of angular…

Computer Vision and Pattern Recognition · Computer Science 2022-04-06 Yuqi Ding , Zhang Chen , Yu Ji , Jingyi Yu , Jinwei Ye

Robust and accurate camera calibration is essential for 3D reconstruction in light microscopy under circular motion. Conventional methods require either accurate key point matching or precise segmentation of the axial-view images. Both…

Computer Vision and Pattern Recognition · Computer Science 2019-10-31 Yuanhao Guo , Fons J. Verbeek , Ge Yang

On 3D imaging, light field cameras typically are of single shot, and however, they heavily suffer from low spatial resolution and depth accuracy. In this paper, by employing an optical projector to project a group of single high-frequency…

Image and Video Processing · Electrical Eng. & Systems 2024-04-11 Geyou Zhang , Ce Zhu , Kai Liu , Yipeng Liu

Time-of-flight cameras provide depth information, which is complementary to the photometric appearance of the scene in ordinary images. It is desirable to merge the depth and colour information, in order to obtain a coherent scene…

Computer Vision and Pattern Recognition · Computer Science 2020-12-18 Miles Hansard , Georgios Evangelidis , Quentin Pelorson , Radu Horaud

Accurate calibration of internal parameters is a crucial yet challenging prerequisite for 3D reconstruction using light field cameras. In this paper, we propose a linear fractional transformation(LFT) parameter $\alpha$ to decoupled the…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Zhong Chen , Changfeng Chen

This paper considers a compressive multi-spectral light field camera model that utilizes a one-hot spectralcoded mask and a microlens array to capture spatial, angular, and spectral information using a single monochrome sensor. We propose a…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Wen Cao , Ehsan Miandji , Jonas Unger

This paper addresses the problem of mirror surface reconstruction, and proposes a solution based on observing the reflections of a moving reference plane on the mirror surface. Unlike previous approaches which require tedious calibration,…

Computer Vision and Pattern Recognition · Computer Science 2021-01-26 Kai Han , Miaomiao Liu , Dirk Schnieders , Kwan-Yee K. Wong

In 3D reconstruction, the recovery of the calibration parameters of the cameras is paramount since it provides metric information about the observed scene, e.g., measures of angles and ratios of distances. Autocalibration enables the…

Computer Vision and Pattern Recognition · Computer Science 2019-01-21 José I. Ronda , Antonio Valdés , Guillermo Gallego
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