Impact of Dehazing on Underwater Marker Detection for Augmented Reality

@article{Zuzi2018ImpactOD,
  title={Impact of Dehazing on Underwater Marker Detection for Augmented Reality},
  author={Marek Zuzi and Jan {\vC}ejka and Fabio Bruno and Dimitrios Skarlatos and F. Liarokapis},
  journal={Frontiers in Robotics and AI},
  year={2018},
  volume={5}
}
Underwater augmented reality is a very challenging task and amongst several issues, one of the most crucial aspects involves real-time tracking. Particles present in water combined with the uneven absorption of light decrease the visibility in the underwater environment. Dehazing methods are used in many areas to improve the quality of digital image data that is degraded by the influence of the environment. This paper describes the visibility conditions affecting underwater scenes and shows… 
View on PubMed
frontiersin.org
10 Citations
Methods Citations
1

Figures and Tables from this paper

10 Citations

Citation Type

Citation Type

Improving Marker-Based Tracking for Augmented Reality in Underwater Environments
TLDR
A new method based on white balancing that enhances underwater images to improve the results of detection of markers and shows that this method improves the detection in underwater environments while keeping the computation time low.
Underwater image quality improvement approach based on an adapted Gabor multi-channels filtering
TLDR
Results showed that the object-oriented dehazing improves the successful of markers identification in underwater environment and exploits the texture features derived by multi-channel filtering for image segmentation.
Tackling Problems of Marker-Based Augmented Reality Under Water
TLDR
This chapter focuses on the problem of localizing a device under water using markers, and discusses various filters that enhance and improve images recorded under water, and their impact on marker-based tracking.
Detecting Square Markers in Underwater Environments
TLDR
This paper presents a new algorithm for the detection of fiducial markers that is tailored to underwater environments and proposes a method that generates synthetic images with such markers in these environments, showing that it performs better than other detectors.
An Underwater Visual Navigation Method Based on Multiple ArUco Markers
Underwater navigation presents crucial issues because of the rapid attenuation of electronic magnetic waves. The conventional underwater navigation methods are achieved by acoustic equipment, such as…
Underwater Augmented Reality for improving the diving experience in submerged archaeological sites
A Mirror-Based Active Vision System for Underwater Robots: From the Design to Active Object Tracking Application
TLDR
The ability to control the view’s direction allows the robot to explore its entire surroundings without any actual displacement, which can be useful for more effective motion planning and for different navigation strategies, such as object tracking and/or obstacle evasion.
Correcting anisotropic intensity in light sheet images using dehazing and image morphology
TLDR
An illumination correction technique integrated with depth detail amelioration to achieve symmetric contrast in large field-of-view images acquired using a low power objective lens is introduced.
Underwater marker-based pose-estimation with associated uncertainty
TLDR
A state-of-the-art object detection framework was adapted to predict the corner locations of Aruco markers, while dropout sampling at inference time is used to estimate the predictive 6-DoF pose uncertainty.
All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda
TLDR
This survey paper presents the first effort to offer a comprehensive framework that examines the latest metaverse development under the dimensions of state-of-the-art technologies and metaverse ecosystems, and illustrates the possibility of the digital `big bang' of the authors' cyberspace.

References

SHOWING 1-10 OF 51 REFERENCES
Automatic restoration of underwater monocular sequences of images
TLDR
A physical underwater light attenuation model is adopted which is used to enhance the quality of images and enable the applicability of traditional computer vision techniques images acquired from underwater scenes and allows for substantial restoration of the images, thereby improving the ability to identify and match features.
Initial results in underwater single image dehazing
TLDR
This paper proposes a simple, yet effective, prior that exploits the strong difference in attenuation between the three image color channels in water to estimate the depth of the scene and then uses this estimate to reduce the spatially varying effect of haze in the image.
Evaluation of Underwater Image Enhancement Algorithms under Different Environmental Conditions
TLDR
This research aims to establish if a quantitative metric was enough to judge the behaviour of an underwater image enhancement algorithm, and demonstrate that, even if the metrics can provide an indicative estimation of image quality, they could lead to inconsistent or erroneous evaluations.
Underwater Image Enhancement by Wavelength Compensation and Dehazing
TLDR
A novel systematic approach to enhance underwater images by a dehazing algorithm, to compensate the attenuation discrepancy along the propagation path, and to take the influence of the possible presence of an artifical light source into consideration is proposed.
Automatic Red-Channel underwater image restoration
Enhancing underwater images and videos by fusion
TLDR
A novel strategy to enhance underwater videos and images that derives the inputs and the weight measures only from the degraded version of the image, and supports temporal coherence between adjacent frames by performing an effective edge preserving noise reduction strategy.
Single underwater image enhancement with a new optical model
TLDR
A new underwater optical model is derived to describe the formation of an underwater image in the true physical process, and an effective enhancement algorithm is proposed with the derived optical model to improve the perception of underwater images or video frames.
Single Image Dehazing via Large Sky Region Segmentation and Multiscale Opening Dark Channel Model
TLDR
Experimental results on different kinds of hazy images indicate that the proposed approach can produce the visually desirable results with genuine color and high scene visibility, even superior than the other state-of-the-art dehazing methods.
An evaluation of artificial fiducial markers in underwater environments
This paper presents an evaluation of artificial fiducial markers in underwater environments. Due to the readily available code, the ARToolKit, AprilTags and ArUco marker systems are chosen for this…
Restoration and Enhancement of Underwater Images Based on Bright Channel Prior
This paper proposed a new method of underwater images restoration and enhancement which was inspired by the dark channel prior in image dehazing field. Firstly, we proposed the bright channel prior…
...
...