Triangulation in Random Refractive Distortions

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

doi:10.1109/tpami.2016.2551740

Cited by 10 publications

(2 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The case of a camera inside an underwater dome is studied in [35]. More complex situations have explored when seeing aerial objects from underwater through a randomly moving surface in [36,37]. The converse situation (air to water) is explored in [38] using a differentiable/NN framework.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Multi-view stereo of an object immersed in a refractive medium

Bruneau,

Brument,

Calvet

et al. 2024

J. Electron. Imag.

View full text Add to dashboard Cite

In this article we show how to extend the multi-view stereo technique when the object to be reconstructed is inside a transparent -but refractive -medium, which causes distortions in the images. We provide a theoretical formulation of the problem accounting for a general, non-planar shape of the refractive interface, and then a discrete solving method. We also present a pipeline to recover precisely the geometry of the refractive interface, considered as a convex polyhedral object. It is based on the extraction of visible polyhedron vertices from silhouette images and matching across a sequence of images acquired under circular camera motion. These contributions are validated by tests on synthetic and real data.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Scenarios like viewing aerial objects from underwater are covered in Refs. 30 and 31 and air to water transitions in Ref. 32.…”

Section: Related Workmentioning

confidence: 99%

Multi-view stereo of an object immersed in a refractive medium

Bruneau,

Brument,

Calvet

et al. 2024

J. Electron. Imag.

View full text Add to dashboard Cite

show abstract

A novelty segmented framework for correcting water-to-air distorted images

Cai,

Cao,

Meng

2025

Optics Communications

View full text Add to dashboard Cite

Underwater-to-air distorted image correction based on the reconstructed water surface

Cao,

Cai,

Meng

2024

J. Opt.

View full text Add to dashboard Cite

The lights with spatial target information received by the underwater camera are refracted at the intersection with the water surface, resulting in geometric distortion of the image. Existing methods for correcting the water-to-air distorted images typically rely on a large amount of data, such as image sequences, making the restoration using a single frame challenging. To address the issue, we propose a spatial pixel correction algorithm based on the reconstructed water surface. Firstly, we introduce a gradient water surface reconstruction algorithm based on the discrete normal vector, ensuring high accuracy in the spatial position and amplitude of the reconstructed water surface. Thus, intersections of the lights with the reconstructed water surface can be solved based on the constructed water surface. Subsequently, we propose a camera’s reverse tracking algorithm, which skillfully links the images with the spatial pixel coordinates. Finally, based on the characteristics of pixel arrangement, we propose a spatial grid algorithm to separate the spatial coordinates obtained by the reverse tracking algorithm. This part can better handle the highly concentrated and over-dispersed pixels in the spatial coordinate system. The proposed correction algorithm has better correction performance. The similarity between the restored and real images is more than 80%, and the mean square error is less than 0.01.

show abstract

Triangulation in Random Refractive Distortions

Abstract: Random refraction occurs in turbulence and

Cited by 10 publications

References 61 publications

Multi-view stereo of an object immersed in a refractive medium

Multi-view stereo of an object immersed in a refractive medium

A novelty segmented framework for correcting water-to-air distorted images

Underwater-to-air distorted image correction based on the reconstructed water surface

Contact Info

Product

Resources

About