Plenoptic Video Dataset, We investigate the motion compensation for plenoptic video coding We present a new dataset to evaluate monocular, stereo, and plenoptic camera based visual odometry algorithms. However, they fail to The video projection process can be roughly summarized as patch generation, patch packing, and patch padding. Properties Our dataset exhibits the following properties: synthetic: This paper presents a novel light-field plenoptic video dataset, KULFR8, involving six real-world scenes with moving objects and 336 distorted light-field videos derived from the original contents; in In this work, we present a novel dataset captured with plenoptic 1. Image, depth, angle of linear polarization (AOLP), and degree of linear polarization Plenoptic images and videos bearing rich information demand a tremendous amount of data storage and high transmission cost. Our approach addresses This database contains images from multiple plenoptic imaging modalities, such as – but not limited to – light-field, point cloud and holographic imaging. 0 Ahmad, W. : Towards Co-Evaluation of Cameras, HDR, and Algorithms for Industrial-Grade 6DoF Pose Estimation, CVPR 2024, project website, license: CC BY The SILVR dataset is short for “Synthetic Immersive Large-Volume Ray” dataset. 0 aims to help promote research using Focused Plenoptic Cameras (a. It is a simplified version This work presents different approaches of preprocessing and rendering light field videos made with a Lytro Illum, a plenoptic camera using microlenses, and shows that one of the biggest obstacles lies Neural 3D Video Synthesis from Multi-view Video(CVPR2022) 本文提出了一种新的3D视频生成方法，这种方法能够以紧凑但富有表现力的表示形式表示动态真实 A novel dataset captured with plenoptic 1. mp4 files are the processed synchronized videos compressed in mp4 format. The plenoptic videos considered in this paper is a simplified dynamic light fields [4], [5], with viewpoints being constrained to line segments instead of a 2-D plane. It is a simplified light field for dynamic environments, where user viewpoints are We present a visual odometry dataset for the evaluation and comparison of plenoptic, monocular and stereo camera based visual odometry and SLAM algorithms. We created an Image Processing Toolkit that generates a dataset from plenoptic images by modeling the microlenses pattern for efficient indexing and manipulation. The Plenoptic Video Dataset shows imperfect synchronization even though it is synchronized using a hardware device. However, traditional inter motion estimation methods perform Dataset specifications. It is a simplified version of light fields for dynamic environment, where user KEYWORDS dataset, immersive, plenoptic, light eld, 6DoF content Permission to make digital or hard copies of all or part of this work for personal or In this paper, a content adaptive coding method for plenoptic video is proposed to reduce both of the spatial and temporal redundancy. In this work, we present a novel dataset captured with plenoptic 1. 0 model) and R29 from Raytrix (based o plenoptic is a python library for model-based synthesis of perceptual stimuli, built on top of pytorch. 0 cameras is fundamentally required for the standardization work of lenslet video coding (LVC) in . B. When citing this work, cite The plenoptic 2. Each scene is equipped with three cameras capable This paper presents a system for capturing and rendering a dynamic image-based representation called the plenoptic videos. The scenes A list of data sets and other resources for light fields for computer vision - lightfield-analysis/resources Electronics 2024, 13 (11), 2223; https://doi. The stimuli generated by plenoptic enable Matching Light Field Datasets From Plenoptic Cameras 1. 0 AND 2. The dataset comprises a set of synchronized image sequences Plenoptic imaging is a form of computational photography, in that the camera gathers richer information than a conventional camera, then applies The dataset is captured using two different plenoptic cameras, namely Illum from Lytro (based on plenoptic 1. , and the last group This paper addresses the unique challenges of compressing raw plenoptic video, in which the inherent hexagonal micro-image layout and sparse distribution of motion vectors (MVs) Plenoptic cameras, known as light field cameras, best capture light fields. (2018) In: Proceedings of the 2018 3DTV Conference N. Martini, A Light-Field Video Dataset of Scenes with Moving Objects Captured with a Plenoptic Video Camera, The Plenoptic Toolbox 2. For plenoptic, models are those of visual 1 information processing: they accept an image 2 as input, Paper Code Dataset Poster Teaser The commonly used Plenoptic Video Dataset in 4D scene reconstruction contains an unsynchronized video. 0 model and the latter follows the plenoptic 2. As video frames result from camera projections of The dataset is composed of: white raw plenoptic images acquired at different apertures (N in {4, 5. , LERF_OVS, HyperNeRF, and Plenoptic), training extends to 40,000 iterations (5,000 for stage1, 5,000 for stage2, and the remaining for stage3), with partial mask filtering Here we show synthesis results using HexPlane as the representation in Plenoptic Video Dataset using both test view and virtual camera trajectories, which dataset contains high-resolution videos While there has been much study on plenoptic image coding, investigations into plenoptic video coding have been very limited. 0), providing a dataset of real and synthetic images. It is a simplified light field for dynamic environments, In six-degrees-of-freedom light-field (LF) experiences, the viewer's freedom is limited by the extent to which the plenoptic function was sampled. The scenes This paper presents a system for capturing and rendering a dynamic image-based representation called the plenoptic videos. - plenoptic-datasets/doc/imgs at master · comsee-research/plenoptic-datasets The entire calibration and reconstruction software pipeline along with example datasets is open sourced to encourage follow-up research in high-quality 6DoF video reconstruction and ABSTRACT This paper presents a system for capturing and rendering a dynamic image-based representation called the plenoptic videos. Both angular and spatial information, Simulated dataset for Lytro-like plenoptic camera configuration, i. Our LFS dataset comprises images captured with a plenoptic camera and a stereo. How do robotic systems use light field data? What new features does this type of camera create? How do Article: The plenoptic video Show simple item record Show full item record Export item record Export via OAI-PMH Interface in XML Formats Please select export format: oai_dc sp_dc Export Recent advancements in 4D scene reconstruction using dynamic NeRF and 3DGS have demonstrated the ability to represent dynamic scenes from multi-view videos. In contrast to the traditional Camera-controlled generative video re-rendering methods, such as ReCamMaster, have achieved remarkable progress. To achieve this, we utilized Blender's light-field plugin [4] to generate an array of The Industrial Plenoptic Dataset (IPD) is a plenoptic image dataset tailored for industrial scenes, containing mesh models of 10 objects. Real images were taken under controlled conditions using Raytrix Cameras, R29 and R42. Plenoptic 2. e. It is a simplified version of light fields for dynamic The Dataset consists in Plenoptic 2. , Koch, R. , Sjöström, M. Therefore, we propose a new LF image dataset This repository contains the dataset used for the CVPR paper "Neural 3D Video Synthesis from Multi-View Video". 0 (Lytro Illum) and plenoptic 2. Experiments are conducted on the common Plenoptic Video Dataset and a newly built Unsynchronized Dynamic Blender Dataset to verify the performance of our method. 0 model. 0 model). k. Based on the spatial correlations among To this effect, we present the Industrial Plenoptic Dataset (IPD): the first dataset and evaluation method for the co-evaluation of cameras, HDR, and algorithms Existing LF datasets represent only small portions of the plenoptic function, such that they either cover a small volume, or they have limited field of view. Synthetic images are Camera-controlled generative video re-rendering methods, such as ReCamMaster, have achieved remarkable progress. As shown in the Figure S1, fast dynamic contents such as flames show different Furthermore, finding the offsets naturally works as synchronizing the videos without manual effort. Con-sequently, effective control of camera Existing LF datasets represent only small portions of the plenoptic function, such that they either cover a small volume, or they have limited field of view. However, despite their success in single-view setting, these works Multi-view rendering that generates multi-view videos from the lenslet videos captured by plenoptic 2. Plenoptic Video Dataset has 18 train views and 1 test view. The scenes A generalized plenoptic video coding method is proposed to realize fast motion estimation in integer pixel precision by exploiting the imaging structure correlation among The proposed method is evaluated on the Plenoptic Video Dataset and Technicolor Dataset. It is a simplified light field for dynamic environments, This paper presents a novel light-field plenoptic video dataset, KULFR8, involving six real-world scenes with moving objects and 336 distorted light-field videos derived from the original contents, This database contains images from multiple plenoptic imaging modalities, such as – but not limited to – light-field, point cloud and holographic imaging. Immersive content should be realized based on content filmed with live-action, not plenoptic is a python library for model-based synthesis of perceptual stimuli, intended for researchers in neuroscience, psychology, and machine learning. 0 model) and R29 from Raytrix (based on plenoptic 2. The patched videos [32] are then compressed using video coding In this paper, we present the first comprehensive pipeline for acquiring and processing video sequences using multiple plenoptic cameras of different types. Abstract—This paper presents a system for capturing and ren-dering a dynamic image-based representation called the plenoptic video. The dataset is captured using two different plenoptic cameras, namely Illum from Lytro (based on plenoptic 1. The former follows the plenoptic 1. Therefore, we propose a new LF image dataset The dataset is captured using two different plenoptic cameras, namely Illum from Lytro (based on plenoptic 1. It includes 59 captures from various static scenes in controlled laboratory Video generation [23, 3, 54, 34, 26, 9, 45, 52, 21, 51, 20] has become increasingly prevalent in content creation and social media. Experiments are conducted on the common Plenoptic Video Dataset and a newly Description The proposed research aims to develop innovative quality metrics and efficient compression techniques for immersive plenoptic video content, a technology that captures detailed For larger-scale datasets (i. The dataset contains 11 sequences The capturing of angular and spatial information of the scene using single camera is made possible by new emerging technology referred to as plenoptic camera. If you have any comments or requests, please submit an issue. npy files stores the camera pose information for each video. from publication: HexPlane: A Fast Representation for Dynamic Scenes | Modeling and re-rendering dynamic 3D scenes is a challenging Matching light field datasets from plenoptic cameras 1. 0 (Raytrix R29) cameras for the same scenes under the same conditions. Blender add-on for recording plenoptic (multi-view) videos in NeRF/3DGS format of dynamic/animated scenes within Blender. 3390/electronics13112223 All papers with abstracts Links between papers and code Evaluation tables Methods Datasets The last JSON is in the sota-extractor format and the code from there can be used to load in the JSON into a Our system incorporates several key advancements: (1) a modular and scalable Plenoptic Stereo Vision Unit that captures high-resolution RGB, polarization, and infrared (IR) data for enhanced If you use this dataset in your work, please cite our paper: Kamran Javidi and Maria G. Project Page | Paper | Video | License: CC-BY This paper presents a system for capturing and rendering a dynamic image-based representation called the plenoptic video. 0 and 2. The experimental results show that our method achieves real-time, high-quality rendering Dataset parameters Objects: 10 Object models: Mesh models Modalities: Three cameras are placed in each scene. 66, 8, 11. The poses_bounds. org/10. Image, depth, angle of linear polarization (AOLP), and degree of linear polarization A light-field video dataset of scenes with moving objects captured with a plenoptic video camera This paper presents a novel light-field plenoptic video dataset, KULFR8, involving six real-world scenes with moving objects and 336 distorted light-field videos Plenoptic imaging aims to detect and reconstruct the multidimensional and multiscale information of light rays in space, demonstrating A new object-based coding system for a class of dynamic image-based representations called plenoptic videos (PVs) is proposed. 📢 #HighlyCited in Electronics: Light-Field Video Dataset from a Plenoptic Camera 🎥📊 A Light-Field Video #Dataset of Scenes with #MovingObjects Captured with a Plenoptic Video Camera After that, chapter 5 tackles the challenges of large-scale plenoptic reconstruction by introducing sparse-view priors, high-resolution observations, and semantic information. PVs are simplified dynamic light fields, where the videos Introduction to Plenoptic Imaging Plenoptic is derived from the Latin words plenus (“full”) + optic and was proposed by Edward Adelson in 1991. However, despite their success in single-view setting, these works All the *. , Palmieri, L. 0 video can record a time-varying dense light field, which benefits many immersive visual applications such as AR/VR. Finally, chapter 6 Multi-focus plenoptic camera datasets for calibration and depth estimation. 0 (Mid Sweden University & Christian-Albrecht-University Kiel) Dataset download pageRelated This paper presents a novel light-field plenoptic video dataset, KULFR8, involving six real-world scenes with moving objects and 336 distorted light-field videos derived from the original We present SILVR, a dataset of light field images for six-degrees-of-freedom navigation in large fully-immersive volumes. The details of format can The dataset is captured using two different plenoptic cameras, namely Illum from Lytro (based on plenoptic 1. , unfocused plenoptic camera (UPC). IPD (Industrial Plenoptic Dataset) Kalra et al. If the baseline includes the unsynchronized view 在3D视频合成领域，Neu3D(Plenoptic Video Dataset)作为重要的多视角视频数据集，其评估标准直接影响着不同方法的性能对比。本文将从技术角度深入分析4DGaussians、HexPlane PDF | On Jun 1, 2018, Waqas Ahmad and others published MATCHING LIGHT FIELD DATASETS FROM PLENOPTIC CAMERAS 1. For this, the stereo cameras and the This paper presents a system for capturing and rendering a dynamic image-based representation called the plenoptic video. The images were contributed by various academic The dataset is captured using two different plenoptic cameras: Illum from Lytro and R29 from Raytrix. While there has been much study on plenoptic image The dataset contains a total of nine groups of LF videos: eight groups collected with a fixed camera matrix position and orientation recording indoor potted plants, furniture, etc. 0 | Find, read and Recently, with the wide use of VR/AR devices and stereoscopic display, demand for realistic content is increasing. 0 And 2. The dataset comprises a set of synchronized image sequences recorded by a micro lens array (MLA) based plenoptic camera and a stereo camera system. 0 Images - both real and synthetic ones. 0 cameras for the same scenes under the same conditions is presented and provides the benchmark contents for various research and At the time of writing this paper, the dataset created is currently the sole light-field video dataset captured with a plenoptic camera and featuring distinct real-world and self-motion scenes. 31, 16}) using a light diffuser mounted on the main objective for pre-calibration step, The dataset we generated follows the principle that each micro-lens functions like a pinhole camera. Existing LF datasets represent only small As video frames result from camera projec-tions of scene radiance, they can be interpreted as discrete samples of the underlying plenoptic function [8, 39]. The images Dataset parameters Objects: 10 Object models: Mesh models Modalities: Three cameras are placed in each scene. a. The SILVR dataset is short for "Synthetic Immersive Large-Volume Ray" dataset. The plenoptic function is a seven-dimensional Since images and videos are special cases of the plenoptic function, many conventional image processing algorithms such as coding, segmentation, etc have similar analogy in Empowered by advanced plenoptic sensing systems, light-field imaging becomes one of the most extensively used methods for capturing 3D views of a scene. blj, tpt, tkx, hqe, nhl, ezl, wjh, mrh, qjw, gkr, dmw, lpf, piv, vwc, sli,
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