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In this paper, we demonstrate light field triangulation to determine depth distances and baselines in a plenoptic camera. Advances in micro lenses and image sensors have enabled plenoptic cameras to capture a scene from different viewpoints…

Information Retrieval · Computer Science 2021-01-21 Christopher Hahne , Amar Aggoun , Vladan Velisavljevic , Susanne Fiebig , Matthias Pesch

In this paper, we propose a novel method for joint recovery of camera pose, object geometry and spatially-varying Bidirectional Reflectance Distribution Function (svBRDF) of 3D scenes that exceed object-scale and hence cannot be captured…

Computer Vision and Pattern Recognition · Computer Science 2023-06-07 Carolin Schmitt , Božidar Antić , Andrei Neculai , Joo Ho Lee , Andreas Geiger

We propose a novel framework to automatically learn to aggregate and transform photometric measurements from multiple unstructured views into spatially distinctive and view-invariant low-level features, which are subsequently fed to a…

Computer Vision and Pattern Recognition · Computer Science 2024-12-12 Xiang Feng , Kaizhang Kang , Fan Pei , Huakeng Ding , Jinjiang You , Ping Tan , Kun Zhou , Hongzhi Wu

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

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

Camera calibration methods usually consist of capturing images of known calibration patterns and using the detected correspondences to optimize the parameters of the assumed camera model. A meaningful evaluation of these methods relies on…

Computer Vision and Pattern Recognition · Computer Science 2022-03-10 Tim Michels , Arne Petersen , Reinhard Koch

We present a novel target-based lidar-camera extrinsic calibration methodology that can be used for non-overlapping field of view (FOV) sensors. Contrary to previous work, our methodology overcomes the non-overlapping FOV challenge using a…

Robotics · Computer Science 2025-03-04 Nicholas Charron , Huaiyuan Weng , Steven L. Waslander , Sriram Narasimhan

We present To The Point (TTP), a method for reconstructing 3D objects from a single image using 2D to 3D correspondences learned from weak supervision. We recover a 3D shape from a 2D image by first regressing the 2D positions corresponding…

Computer Vision and Pattern Recognition · Computer Science 2021-06-11 Filippos Kokkinos , Iasonas Kokkinos

Plenoptic cameras enable the capturing of spatial as well as angular color information which can be used for various applications among which are image refocusing and depth calculations. However, these cameras are expensive and research in…

Image and Video Processing · Electrical Eng. & Systems 2022-04-12 Tim Michels , Arne Petersen , Luca Palmieri , Reinhard Koch

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

Plenoptic imaging enables a light-field to be captured by a single monocular objective lens and an array of micro lenses attached to an image sensor. Metric distances of the light-field's depth planes remain unapparent prior to acquisition.…

Image and Video Processing · Electrical Eng. & Systems 2020-06-02 Christopher Hahne , Amar Aggoun

This paper propose a interactive 3D modeling method and corresponding system based on single or multiple uncalibrated images. The main feature of this method is that, according to the modeling habits of ordinary people, the 3D model of the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Zhi He , Rui Wang , Wei Hua , Yuchi Huo

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

We examine 3D reconstruction of architectural scenes in unordered sets of uncalibrated images. We introduce a linear method to self-calibrate and find the metric reconstruction of a camera pair. We assume unknown and different focal lengths…

Computer Vision and Pattern Recognition · Computer Science 2019-07-01 Nikos Melanitis , Petros Maragos

This paper describes a novel approach to partially reconstruct high-resolution 4D light fields from a stack of differently focused photographs taken with a fixed camera. First, a focus map is calculated from this stack using a simple…

Computer Vision and Pattern Recognition · Computer Science 2015-03-09 A. Mousnier , E. Vural , C. Guillemot

The process of camera calibration involves estimating the intrinsic and extrinsic parameters, which are essential for accurately performing tasks such as 3D reconstruction, object tracking and augmented reality. In this work, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2024-02-21 Muhammad Waleed , Abdul Rauf , Murtaza Taj

Focused plenoptic cameras can record spatial and angular information of the light field (LF) simultaneously with higher spatial resolution relative to traditional plenoptic cameras, which facilitate various applications in computer vision.…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Kedeng Tong , Xin Jin , Yuqing Yang , Chen Wang , Jinshi Kang , Fan Jiang

We present novel methods to perform plenoptic imaging at the diffraction limit by measuring intensity correlations of light. The first method is oriented towards plenoptic microscopy, a promising technique which allows refocusing and…

Plenoptic cameras offer a cost effective solution to capture light fields by multiplexing multiple views on a single image sensor. However, the high angular resolution is achieved at the expense of reducing the spatial resolution of each…

Computer Vision and Pattern Recognition · Computer Science 2018-09-28 Reuben A. Farrugia , C. Guillemot

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