Triangulation in random refractive distortions

Alterman, Marina; Schechner, Yoav Y.; Swirski, Yohay

doi:10.1109/iccphot.2013.6528314

Cited by 24 publications

(9 citation statements)

References 51 publications

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“…In terms of static interface and moving interface scenario, since there is no prior work assuming the same geometry, we compared ours with simple SfM ignoring re- fraction. Triangulation in Random Refractive Distortions (TRD) [2] has a similar goal to our work, but their work concentrates on triangulation method given camera poses, while we concentrate on camera pose estimation as well as 3D point reconstruction; thus we consider their approach complementary to our approach.…”

Section: Comparative Methodsmentioning

confidence: 99%

Unified Underwater Structure-from-Motion

Ichimaru

Taguchi

Kawasaki

2019

2019 International Conference on 3D Vision (3DV)

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This paper shows that accurate underwater 3D shape reconstruction is possible using a single camera, observing a target through a refractive interface. We provide unified reconstruction techniques for a variety of scenarios such as single static camera and moving refractive interface, single moving camera and static refractive interface, and single moving camera and moving refractive interface. In our basic setup, we assume that the refractive interface is planar, and simultaneously estimate the unknown transformations of the planar interface and the camera, and the unknown target shape using bundle adjustment. We also extend it to relax the planarity assumption, which enables us to use waves of the refractive interface for the reconstruction task. Experiments with real data show the superiority of our method to existing methods.

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Section: Comparative Methodsmentioning

confidence: 99%

Unified Underwater Structure-from-Motion

Ichimaru

Taguchi

Kawasaki

2019

2019 International Conference on 3D Vision (3DV)

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“…Their baseline was b = 27.5 cm. Refer to 24 for more experiments and further technical details. The upward camera stereo pair was mounted on a tripod and submerged.…”

Section: Triangulation In Random Refractive Distortionsmentioning

confidence: 99%

3D in natural random refractive distortions

Alterman¹,

Schechner

2016

SPIE Proceedings

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Random distortions naturally affect images taken through atmospheric turbulence or wavy water. They pose new 3D recovery problems. Distortions are caused by the volumetric field of turbulent air or the 3D shape of water waves. We show methods that recover these 3D distorting media. Moreover, it is possible to triangulate objects beyond the refracting medium. Applications include sensing and study of random refractive media in nature, and enhanced imaging including possibilities for a virtual periscope.

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“…Maeno et al [15] introduced light field distortion features to describe and recognize an object composed of a refractive surface and a textured background, using a commercial plenoptic camera. Alterman et al [3] use large displacement optical flow between two views to deal with refractions only. Like us, they propose a multi-view triangulation approach, although they only model Lambertian points seen through refractive media.…”

Section: Related Workmentioning

confidence: 99%

Linearizing the Plenoptic Space

Nieto

Devernay

Crowley

2017

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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The plenoptic function, also known as the light field or the lumigraph, contains the information about the radiance of all optical rays that go through all points in space in a scene. Since no camera can capture all this information, one of the main challenges in plenoptic imaging is light field reconstruction, which consists in interpolating the ray samples captured by the cameras to create a dense light field. Most existing methods perform this task by first attempting some kind of 3D reconstruction of the visible scene. Our method, in contrast, works by modeling the scene as a set of visual points, which describe how each point moves in the image when a camera moves. We compute visual point models of various degrees of complexity, and show that highdimensional models are able to replicate complex optical effects such as reflection or refraction, and a model selection method can differentiate quasi-Lambertian from non-Lambertian areas in the scene.

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Triangulation in random refractive distortions

Cited by 24 publications

References 51 publications

Unified Underwater Structure-from-Motion

Unified Underwater Structure-from-Motion

3D in natural random refractive distortions

Linearizing the Plenoptic Space

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