Modeling the World from Internet Photo Collections

Snavely, Noah; Seitz, Steven M.; Szeliski, Richard

doi:10.1007/s11263-007-0107-3

Cited by 1,901 publications

(1,274 citation statements)

References 81 publications

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“…However, the sequential steps that were followed in this study are outlined below and are similar across all commercial and open-source software packages. Further details on SfM can be found in Fonstad et al (2013), Lowe (2004), Snavely et al (2008), Szeliski (2010) and Verhoeven (2011).…”

Section: Structure From Motion (Sfm) Workflow -Dem and Orthomosaic Gementioning

confidence: 99%

Monitoring tropical debris-covered glacier dynamics from high-resolution unmanned aerial vehicle photogrammetry, Cordillera Blanca, Peru

Wigmore

Mark

2017

The Cryosphere

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Abstract. The glaciers of the Cordillera Blanca, Peru, are rapidly retreating and thinning as a result of climate change, altering the timing, quantity and quality of water available to downstream users. Furthermore, increases in the number and size of proglacial lakes associated with these melting glaciers is increasing potential exposure to glacier lake outburst floods (GLOFs). Understanding how these glaciers are changing and their connection to proglacial lake systems is thus of critical importance. Most satellite data are too coarse for studying small mountain glaciers and are often affected by cloud cover, while traditional airborne photogrammetry and lidar are costly. Recent developments have made unmanned aerial vehicles (UAVs) a viable and potentially transformative method for studying glacier change at high spatial resolution, on demand and at relatively low cost.Using a custom designed hexacopter built for high-altitude (4000-6000 m a.s.l.) operation, we completed repeat aerial surveys (2014 and 2015) of the debris-covered Llaca Glacier tongue and proglacial lake system. High-resolution orthomosaics (5 cm) and digital elevation models (DEMs) (10 cm) were produced and their accuracy assessed. Analysis of these datasets reveals highly heterogeneous patterns of glacier change. The most rapid areas of ice loss were associated with exposed ice cliffs and meltwater ponds on the glacier surface. Considerable subsidence and low surface velocities were also measured on the sediments within the pro-glacial lake, indicating the presence of extensive regions of buried ice and continued connection to the glacier tongue. Only limited horizontal retreat of the glacier tongue was observed, indicating that measurements of changes in aerial extent alone are inadequate for monitoring changes in glacier ice quantity.

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Section: Structure From Motion (Sfm) Workflow -Dem and Orthomosaic Gementioning

confidence: 99%

Monitoring tropical debris-covered glacier dynamics from high-resolution unmanned aerial vehicle photogrammetry, Cordillera Blanca, Peru

Wigmore

Mark

2017

The Cryosphere

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“…[1][2][3][4]. Bundle adjustment in general has O(N 3 ) complexity, where N is the number of variables in the problem [5].…”

Section: Introductionmentioning

confidence: 99%

Conjugate Gradient Bundle Adjustment

Byröd

Åström

2010

Computer Vision – ECCV 2010

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Abstract. Bundle adjustment for multi-view reconstruction is traditionally done using the Levenberg-Marquardt algorithm with a direct linear solver, which is computationally very expensive. An alternative to this approach is to apply the conjugate gradients algorithm in the inner loop. This is appealing since the main computational step of the CG algorithm involves only a simple matrix-vector multiplication with the Jacobian. In this work we improve on the latest published approaches to bundle adjustment with conjugate gradients by making full use of the least squares nature of the problem. We employ an easy-to-compute QR factorization based block preconditioner and show how a certain property of the preconditioned system allows us to reduce the work per iteration to roughly half of the standard CG algorithm.

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“…1 The motivation behind this is the following: Let y v (x) ∈ R be the disparity value at pixel x. This disparity value can be equivalently encoded by plane parameters u v (x) ∈ R 3 , since we can write y v (x) = p(x) T u v (x), where p(x) = (x T , 1) T is the homogeneous coordinate representation of x.…”

Section: A Visible Layer For Semantics-aware Depth Completionmentioning

confidence: 99%

“…While impressive results can be achieved with multi-view and videobased approaches [1][2][3][4], the progress of depth sensors and their decreasing prices make them an attractive alternative, able to capture 3D in a single shot [5]. Unfortunately, even the best depth sensors still provide imperfect measurements.…”

Section: Introductionmentioning

confidence: 99%

Building Scene Models by Completing and Hallucinating Depth and Semantics

Liu

Salzmann

2016

Computer Vision – ECCV 2016

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Abstract. Building 3D scene models has been a longstanding goal of computer vision. The great progress in depth sensors brings us one step closer to achieving this in a single shot. However, depth sensors still produce imperfect measurements that are sparse and contain holes. While depth completion aims at tackling this issue, it ignores the fact that some regions of the scene are occluded by the foreground objects. Building a scene model would therefore require to hallucinate the depth behind these objects. In contrast with existing methods that either rely on manual input, or focus on the indoor scenario, we introduce a fully-automatic method to jointly complete and hallucinate depth and semantics in challenging outdoor scenes. To this end, we develop a two-layer model representing both the visible information and the hidden one. At the heart of our approach lies a formulation based on the Mumford-Shah functional, for which we derive an effective optimization strategy. Our experiments evidence that our approach can accurately fill the large holes in the input depth maps, segment the different kinds of objects in the scene, and hallucinate the depth and semantics behind the foreground objects.

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Modeling the World from Internet Photo Collections

Cited by 1,901 publications

References 81 publications

Monitoring tropical debris-covered glacier dynamics from high-resolution unmanned aerial vehicle photogrammetry, Cordillera Blanca, Peru

Monitoring tropical debris-covered glacier dynamics from high-resolution unmanned aerial vehicle photogrammetry, Cordillera Blanca, Peru

Conjugate Gradient Bundle Adjustment

Building Scene Models by Completing and Hallucinating Depth and Semantics

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