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A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Motivated by the limitations of existing multi-view stereo benchmarks, we present a novel dataset for this task. ...
Towards this goal, we recorded a variety of indoor and outdoor scenes using a high-precision laser scanner and captured both high-resolution DSLR imagery as well as synchronized low-resolution stereo videos ...
We thank Fatma Güney for running several stereo baselines on KITTI and Middlebury, Lukas Meier for the multi-camera rig mount and the Geosensors and Engineering Geodesy group at ETH for providing the laser ...
doi:10.1109/cvpr.2017.272
dblp:conf/cvpr/SchopsSGSSPG17
fatcat:nbc7ximws5gpxf3re2nkcolfla
Tanks and temples
2017
ACM Transactions on Graphics
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Additional Key Words and Phrases: Structure from motion, multi-view stereo, image-based reconstruction, large-scale scene reconstruction This is the authors' preprint of a SIGGRAPH 2017 paper. ...
High-resolution video sequences are provided as input, supporting the development of novel pipelines that take advantage of video input to increase reconstruction fidelity. ...
ACKNOWLEDGEMENTS We thank the anonymous reviewers for their detailed and professional reviews. Figures 1-4 were created using Mitsuba [Jakob 2010]. ...
doi:10.1145/3072959.3073599
fatcat:kqqcacvhrzfiho4o2jradoopq4
PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network
[article]
2020
arXiv
pre-print
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We present a pixelwise visibility network to learn the visibility information for different neighboring images before computing the multi-view similarity, and then construct an adaptive weighted cost volume ...
In this paper, a Pixelwise Visibility-aware multi-view Stereo Network (PVSNet) is proposed for robust dense 3D reconstruction. ...
Introduction Multi-view stereo (MVS) aims to recover 3D geometry of a scene from a set of calibrated images and is a fundamental problem in computer vision. ...
arXiv:2007.07714v1
fatcat:si2fy6bxojecbj7whzewdhfqni
Fast dense 3D reconstruction using an adaptive multiscale discrete-continuous variational method
2014
IEEE Winter Conference on Applications of Computer Vision
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We evaluate our system quantitatively and qualitatively on Middlebury benchmark and another dataset collected with a smartphone camera. ...
Multi-view stereo is solved using a new, efficient adaptive multiscale discrete-continuous variational method to generate depth maps with sub-pixel accuracy. ...
With the obtained camera poses, a depth map of each image is computed using multi-view stereo algorithm (Figure 2 (b)). ...
doi:10.1109/wacv.2014.6836118
dblp:conf/wacv/KangM14
fatcat:5gtyaw3hq5fmtlpsoafdqj7pbq
AVIE
2007
Proceedings of the 2007 workshop on Emerging displays technologies images and beyond: the future of displays and interacton - EDT '07
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The iCinema Centre for Interactive Cinema Research at UNSW has created a versatile virtual reality theatre that, by combining real-time 360-degree omnistereo projection with surround audio and marker-less ...
video and real-time computer graphics, as well as our primary platform for public exhibition of iCinema projects. ...
Acknowledgements The tracking system has been developed by Anuraag Sridhar and Andre Bernhardt. Balint Seeber created the video engine used in TVisionarium. ...
doi:10.1145/1278240.1278242
dblp:conf/siggraph/McGinitySKHF07
fatcat:xf43usmuwnb33iwb522x7p3xge
Towards Real-time 3D Reconstruction using Consumer UAVs
[article]
2019
arXiv
pre-print
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We found that the neighboring two video frames taken by UAVs flying at a mid-to-high cruising altitude can be approximated as left and right views from a virtual stereo camera. ...
Our core idea is to simplify the multi-view stereo problem into a series of two-view stereo matching problems. ...
We decompose the multi-view reconstruction problem into pairwise two-view stereo matching problems. ...
arXiv:1902.09733v1
fatcat:neluyvuu6jgptkbgzhxg4jpr2y
3D Scene Reconstruction from Multiple Spherical Stereo Pairs
2013
International Journal of Computer Vision
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Reconstruction is based on stereo image pairs with a vertical displacement between camera views. A 3D mesh model for each pair of spherical images is reconstructed by stereo matching. ...
We propose a 3D environment modelling method using multiple pairs of high-resolution spherical images. Spherical images of a scene are captured using a rotating line scan camera. ...
Acknowledgements This research was executed with the financial support of the EU FP7 project i3DPost, UK TSB project SyMMM and EU ICT FP7 project IMPART. ...
doi:10.1007/s11263-013-0616-1
fatcat:mbk53thqwzbvrjkkqh6pvx4pc4
2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43
2022
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. ...
., +, TPAMI July 2021 2206-2219 High Speed and High Dynamic Range Video with an Event Camera. ...
doi:10.1109/tpami.2021.3126216
fatcat:h6bdbf2tdngefjgj76cudpoyia
Real-time stereo-vision system for 3D teleimmersive collaboration
2010
2010 IEEE International Conference on Multimedia and Expo
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The chosen representation of the data also allows for high compression ratios for transfer to remote sites. We demonstrate the accuracy and speed of our results on a variety of benchmarks. ...
This paper addresses how to reconstruct, compress, and visualize the 3D environment. ...
A similar system was proposed by Kauff and Schreer [7] who obtained the 3D video data by merging depth maps generated by multi-baseline algorithm from four views. ...
doi:10.1109/icme.2010.5582538
dblp:conf/icmcs/VasudevanZKLBN10
fatcat:6ykvbmv2brbj5egezzgf6jp2fq
Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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In this paper, we introduce a scalable multi-view stereo framework based on the recurrent neural network. ...
This reduces dramatically the memory consumption and makes high-resolution reconstruction feasible. ...
Introduction Multi-view stereo (MVS) aims to recover the dense representation of the scene given multi-view images and calibrated cameras. ...
doi:10.1109/cvpr.2019.00567
dblp:conf/cvpr/0008LLSFQ19
fatcat:6jckro7msfffpmqqzjcwlzoes4
Enhanced Soft 3D Reconstruction Method with an Iterative Matching Cost Update Using Object Surface Consensus
2021
Sensors
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In this paper, we propose a multi-view stereo matching method, EnSoft3D (Enhanced Soft 3D Reconstruction) to obtain dense and high-quality depth images. ...
Multi-view stereo is one of the high-interest research areas and has wide applications. Motivated by the Soft3D reconstruction method, we introduce a new multi-view stereo matching scheme. ...
One consists of structured multi-view images obtained with a calibrated array camera and the other consists of unstructured multi-view images obtained with a single moving camera. ...
doi:10.3390/s21196680
pmid:34640999
fatcat:3vnquwourzcc5ggt2a46o3366y
Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially Varying Isotropic Materials
[article]
2020
arXiv
pre-print
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We present a method to capture both 3D shape and spatially varying reflectance with a multi-view photometric stereo (MVPS) technique that works for general isotropic materials. ...
From a single viewpoint, we use a set of photometric stereo images to identify surface points with the same distance to the camera. ...
We thank Todd Zickler, Kyros Kutulakos, and Stephen Lin for their helpful discussions and suggestions. We also thank Sai-Kit Yeung and Zhipeng Mo for helping on building the 'DiLiGenT-MV' dataset. ...
arXiv:2001.06659v1
fatcat:hki54j6fxrgnzotvg3bfiy4qde
Unsupervised Monocular Depth Perception: Focusing on Moving Objects
[article]
2021
arXiv
pre-print
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As a flexible passive 3D sensing means, unsupervised learning of depth from monocular videos is becoming an important research topic. ...
With the outlier masking, the network learns the depth of objects that move in the opposite direction to the camera more accurately. ...
the depth, stereo images, and monocular video frames are compared. ...
arXiv:2108.13062v1
fatcat:b535zpzfqzbmbcyyrm5ykqhe6y
A multi-lens stereoscopic synthetic video dataset
2015
Proceedings of the 6th ACM Multimedia Systems Conference on - MMSys '15
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This paper describes a synthetically-generated, multi-lens stereoscopic video dataset and associated 3D models. Creating a multi-lens video stream requires small inter-lens spacing. ...
This dataset provides 20 synthetic models, each with an associated multi-lens walkthrough, and the uncompressed video from its generation. ...
videography) and a rendered set of multi-view imaging data. ...
doi:10.1145/2713168.2713199
dblp:conf/mmsys/ZhangFL15
fatcat:tuigjbkhvzgirgsflgar7pf64a
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation
[article]
2022
arXiv
pre-print
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We present a large-scale stereo RGB image object pose estimation dataset named the StereOBJ-1M dataset. ...
In order to collect data of sufficient scale for modern deep learning models, we propose a novel method for efficiently annotating pose data in a multi-view fashion that allows data capturing in complex ...
Our method is based on multi-view geometry to accurately localize fiducial markers, cameras, and object keypoints in the scene. We use a hand-held stereo camera to record video data. ...
arXiv:2109.10115v3
fatcat:fmmj2ea3r5grfbwoy4ggbaw5hq
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