没有合适的资源?快使用搜索试试~ 我知道了~
稠密重建(MVS)的几种方法详解
3星 · 超过75%的资源 需积分: 48 209 下载量 37 浏览量
2018-10-29
14:44:22
上传
评论 11
收藏 21.34MB PDF 举报
温馨提示
试读
151页
详细讲解了稠密重建中常用的方法,SFM的析稀疏重建,和包括基于体素的稠密重建、基于点云扩散的三维稠密重建、基于深度图融合的稠密方法等。
资源推荐
资源详情
资源评论
Multi-View Stereo: A Tutorial
Yasutaka Furukawa
Washington University in St. Louis
furukawa@wustl.edu
Carlos Hernández
Google Inc.
carloshernandez@google.com
Contents
1 Introduction 2
1.1 Imagerycollection...................... 5
1.2 Cameraprojectionmodels.................. 7
1.3 StructurefromMotion ................... 9
1.4 Bundle Adjustment ..................... 12
1.5 Multi-ViewStereo...................... 13
2 Multi-view Photo-consistency 16
2.1 Photo-consistencymeasures................. 17
2.2 Visibility estimation in state-of-the-art algorithms ..... 31
3 Algorithms: From Photo-Consistency to 3D Reconstruction 37
3.1 DepthmapReconstruction.................. 43
3.2 Point-cloudReconstruction ................. 61
3.3 Volumetricdatafusion ................... 71
3.4 MVSMeshRefinement ................... 83
4 Multi-view Stereo and Structure Priors 97
4.1 DeparturefromDepthmaptoPlanemap .......... 99
4.2 DeparturefromPlanestoGeometricPrimitives ...... 105
4.3 ImageClassificationforStructurePriors ..........107
2
3
5 Software, Best Practices, and Successful Applications 114
5.1 Software ........................... 114
5.2 BestpracticesforImageAcquisition ............ 115
5.3 SuccessfulApplications ................... 117
6 Limitations and Future Directions 123
6.1 Limitations.......................... 123
6.2 OpenProblems ....................... 126
6.3 Conclusions ......................... 129
Acknowledgements 130
References 131
Abstract
This tutorial presents a hands-on view of the field of multi-view stereo
with a focus on practical algorithms. Multi-view stereo algorithms are
able to construct highly detailed 3D models from images alone. They
take a possibly very large set of images and construct a 3D plausible
geometry that explains the images under some reasonable assumptions,
the most important being scene rigidity. The tutorial frames the multi-
view stereo problem as an image/geometry consistency optimization
problem. It describes in detail its main two ingredients: robust im-
plementations of photometric consistency measures, and efficient opti-
mization algorithms. It then presents how these main ingredients are
used by some of the most successful algorithms, applied into real appli-
cations, and deployed as products in the industry. Finally it describes
more advanced approaches exploiting domain-specific knowledge such
as structural priors, and gives an overview of the remaining challenges
and future research directions.
1
Introduction
Reconstructing 3D geometry from photographs is a classic Computer
Vision problem that has occupied researchers for more than 30 years. Its
applications range from 3D mapping and navigation to online shopping,
3D printing, computational photography, computer video games, or
cultural heritage archival. Only recently however have these techniques
matured enough to exit the laboratory controlled environment into the
wild, and provide industrial scale robustness, accuracy and scalability.
Modeling the 3D geometry of real objects or scenes is a chal-
lenging task that has seen a variety of tools and approaches ap-
plied such as Computer Aided Design (CAD) tools [3], arm-mounted
probes, active methods [110, 131, 11, 10] and passive image-based meth-
ods [162, 165, 176]. Among all, passive image-based methods, the sub-
ject of this tutorial, provide a fast way of capturing accurate 3D content
at a fraction of the cost of other approaches. The steady increase of im-
age resolution and quality has turned digital cameras into cheap and
reliable high resolution sensors that can generate outstanding quality
3D content.
The goal of an image-based 3D reconstruction algorithm can be de-
scribed as ”given a set of photographs of an object or a scene, estimate
2
剩余150页未读,继续阅读
资源评论
- zq10438822782019-08-01还不错,内容是英文的
- Ella_le2021-03-15太差劲了,就是网上可以直接下载到的英文论文
xc__
- 粉丝: 6
- 资源: 3
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功