Towards Internet-scale multi-view stereo

Furukawa, Yasutaka; Curless, Brian; Seitz, Steven M.; Szeliski, Richard

doi:10.1109/cvpr.2010.5539802

Cited by 640 publications

(405 citation statements)

References 16 publications

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“…Furthermore, the large redundancy in online photo collections means that a small fraction of images may be sufficient to produce high-quality reconstructions, an observation we have begun to explore by extracting image Bskeletons[ from large collections [68]. Perhaps the most important challenge is to find ways to effectively parallelize all the steps of our reconstruction pipeline to take advantage of multicore architectures and cloud computing [81]- [83].…”

Section: Discussionmentioning

confidence: 99%

Scene Reconstruction and Visualization From Community Photo Collections

et al. 2010

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| There are billions of photographs on the Internet, representing an extremely large, rich, and nearly comprehensive visual record of virtually every famous place on Earth. Unfortunately, these massive community photo collections are almost completely unstructured, making it very difficult to use them for applications such as the virtual exploration of our world. Over the past several years, advances in computer vision have made it possible to automatically reconstruct 3-D geometryVincluding camera positions and scene modelsVfrom these large, diverse photo collections. Once the geometry is known, we can recover higher level information from the spatial distribution of photos, such as the most common viewpoints and paths through the scene. This paper reviews recent progress on these challenging computer vision problems, and describes how we can use the recovered structure to turn community photo collections into immersive, interactive 3-D experiences.

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Section: Discussionmentioning

confidence: 99%

Scene Reconstruction and Visualization From Community Photo Collections

et al. 2010

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“…While some solutions deliver a software program (Bundler [1], ColMap [39], MicMac [40], PMVS [35], CMVS [34]), others deliver both a collection of libraries and softwares (MVE [37], OpenMVG, OpenSfM [41], OpenMVS [42], TheiaSfM [38]) 10 . Combining OpenMVG with OpenMVS or MVE provides an end-toend open-source photogrammetry pipeline.…”

Section: Photogrammetry Software Alternativesmentioning

confidence: 99%

OpenMVG: Open Multiple View Geometry

Moulon

Monasse

Perrot

et al. 2017

Lecture Notes in Computer Science

297

251

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Abstract. The OpenMVG C++ library provides a vast collection of multipleview geometry tools and algorithms to spread the usage of computer vision and structure-from-motion techniques. Close to the state-of-the-art in its domain, it provides an easy access to common tools used in 3D reconstruction from images. Following the credo "Keep it simple, keep it maintainable" the library is designed as a modular collection of algorithms, libraries and binaries that can be used independently or as bricks to build larger systems. Thanks to its strict test driven development, the library is packaged with unit-test code samples that make the library easy to learn, modify and use. Since its first release in 2013 under the MPL2 license, OpenMVG has gathered an active community of users and contributors from many fields, spanning hobbyists, students, computer vision experts, and industry members.

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“…One possibility is the incorporation of a geometry proxy. Given the input images a 3D representation for each discrete time step is reconstructed and used for depth guided resampling of the plenoptic function [17][18][19][20][21][22]. For restricted scene setups the incorporation of template models proves beneficial [23][24][25].…”

Section: Related Workmentioning

confidence: 99%

Towards Plenoptic Raumzeit Reconstruction

Eisemann

Klose

Magnor

2011

Video Processing and Computational Video

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Abstract. The goal of image-based rendering is to evoke a visceral sense of presense in a scene using only photographs or videos. A huge variety of different approaches have been developed during the last decade. Examining the underlying models we find three different main categories: view interpolation based on geometry proxies, pure image interpolation techniques and complete scene flow reconstruction. In this paper we present three approaches for free-viewpoint video, one for each of these categories and discuss their individual benefits and drawbacks. We hope that studying the different approaches will help others in making important design decisions when planning a free-viewpoint video system.

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Towards Internet-scale multi-view stereo

Cited by 640 publications

References 16 publications

Scene Reconstruction and Visualization From Community Photo Collections

Scene Reconstruction and Visualization From Community Photo Collections

OpenMVG: Open Multiple View Geometry

Towards Plenoptic Raumzeit Reconstruction

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