Camera pose estimation in multi-view environments: From virtual scenarios to the real world

Charco, Jorge L.; Sappa, Ángel D.; Vintimilla, Boris X.; Velesaca, Henry O.

doi:10.1016/j.imavis.2021.104182

Cited by 12 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to overcome the limitation of obtaining real-world images with haze, 3D models of different scenarios are required in order to simulate realistic haze image datasets. It should be mentioned that the usage of 3D virtual environments to generate a dataset of synthetic images has already been considered for tackling different computer vision problems for instance object recognition (e.g., pedestrians (Fabbri et al, 2021), vehicles (Tang et al, 2019)), camera calibration (Charco et al, 2018;Charco et al, 2020;Charco et al, 2021), just to mention a few. In the current work, a similar strategy is followed to address the problem of image haze removal.…”

Section: Paired Real Images (Clear/haze)mentioning

confidence: 99%

Domain Adaptation in Image Dehazing: Exploring the Usage of Images From Virtual Scenarios

2022

Proceedings of the 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGV

View full text Add to dashboard Cite

This work presents a novel domain adaptation strategy for deep learning-based approaches to solve the image haze removal problem. Firstly, a large set of synthetic images is generated by using a realistic 3D graphic simulator; these synthetic images contain different densities of haze, which are used for training the model that is later adapted to any real scenario. The adaptation process requires just a few images to fine-tune the model parameters. The proposed strategy allows overcoming the limitation of training a given model with few images. In other words, the proposed strategy implements the adaptation of a haze removal model trained with synthetic images to real scenarios. It should be noticed that it is quite difficult, if not impossible, to have large sets of pairs of real-world images (with and without haze) to train in a supervised way haze removal algorithms. Experimental results are provided showing the validity of the proposed domain adaptation strategy.

show abstract

Section: Paired Real Images (Clear/haze)mentioning

confidence: 99%

Domain Adaptation in Image Dehazing: Exploring the Usage of Images From Virtual Scenarios

2022

Proceedings of the 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGV

View full text Add to dashboard Cite

show abstract

“…With the rapid advancement in computer technology in recent years, virtual reality (VR) technology has gradually matured and is widely applied in the development of simulation systems [26][27][28].Existing research indicates that virtual simulation plays a crucial role in the fields of engineering simulation and visualization, and is widely applied in the visualization simulations of various scenarios such as construction, fire, and earthquakes [29][30][31][32][33]. And Wang et al introduces a lightweight, efficient, and interactive visualization tool for large-scale geotechnical simulations, utilizing Unity3D to overcome challenges in data processing and rendering, thereby enhancing the intuitive understanding and accessibility of complex simulation data [34].…”

Section: Introductionmentioning

confidence: 99%

Virtual simulation of fracture behavior of concrete blocks under blast loading

Ning,

Zhang,

2024

Preprint

View full text Add to dashboard Cite

Utilizing advanced visualization techniques to simulate and replicate the response of concrete block under various explosive loads is of significant importance for investigating and predicting the fragmentation and fracture behavior of concrete materials. In this study, a scenario visualization method is introduced combining virtual simulation and mathematical theoretical modeling, which can vividly characterize the destruction process as well as the damage characteristics of the concrete block subjected to impact. The fragmentation theory model provided, based on the theorem of energy conservation, could analyze and predict the fundamental characteristics of secondary fragments of concrete blocks under blast loading, such as the quantity, quality and the initial velocity of fragmentation. Furthermore, the movement trajectory and 3D dynamic effects of flying concrete fragments after the explosion were finely and real-time simulated using the physics engine, which significantly enhanced the realism and reliability of the visualization. Also, to characterize the damage features of concrete block, the crushing model of concrete block was established by using Voronoi diagram technique, and the damage levels was given according to the degree of destruction. The developed virtual simulation system not only offers the capability to observe the damage process of concrete block from various perspectives and scales, but also efficiently and accurately analyzes and predicts the destructive behavior and dynamic response under impact loads, and it has significant potential applications in architectural engineering design and safety assessment, providing a new perspective for understanding and exploring the mechanisms of destruction and fracture in concrete materials.

show abstract

“…The method from Dokthurian et al [16] takes a sequence of images from two directions using a calibrated camera, and then computes a height estimation based on position information for the ground plane, top of the head and bottom of the feet. In contrast to the above methods, which use a calibrated camera, the method from Charco et al [17] uses uncalibrated images taken from two directions, estimates the external camera parameters using a deep-learning model, and then estimates height based on the estimated camera parameters. Jun et al [18] use multiple uncalibrated cameras, estimate the camera parameters by extracting lines in the background to estimate the vanishing point, and then use them to estimate height.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast to the above methods, which use a calibrated camera, the method from Charco et al . [17] uses uncalibrated images taken from two directions, estimates the external camera parameters using a deep‐learning model, and then estimates height based on the estimated camera parameters. Jun et al .…”

Section: Introductionmentioning

confidence: 99%

Calibration‐Free Height Estimation for Person

Takeda,

Bandoh,

Kitahara

et al. 2024

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

Demand for use of indoor and outdoor surveillance cameras to prevent crime, analyze customer behavior in commercial facilities and other purposes has been increasing. For these types of applications, it is important to be able to estimate information that cannot be observed directly from the images, using the image data. One such type of information is the height of people appearing in the video. People's heights can be used, for example, to help identify a suspect in a crime investigation or as an attribute to understand customers better for marketing. However, many conventional technologies for estimating height from images have required special calibration, or the acquisition of other information in addition to the video. This paper proposes a method for estimating a person's height using only an image, without the need for any special calibration. The key points of the proposed method involve the following two processes. In the first process, a reference object of known size and the person are recognized and the person's height is estimated based on the relative sizes of the person and reference object in the image. The second process involves selecting frames from the video that are appropriate for use in the estimation process. In practical experiments using real video, the method was able to estimate people's heights with an average estimation error of 1.9%. © 2024 The Authors. IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

show abstract

Camera pose estimation in multi-view environments: From virtual scenarios to the real world

Cited by 12 publications

References 8 publications

Domain Adaptation in Image Dehazing: Exploring the Usage of Images From Virtual Scenarios

Domain Adaptation in Image Dehazing: Exploring the Usage of Images From Virtual Scenarios

Virtual simulation of fracture behavior of concrete blocks under blast loading

Calibration‐Free Height Estimation for Person

Contact Info

Product

Resources

About