Contribution of 3D reconstruction techniques to the animated restoration of historical scenes DOI Open Access

Zhirun Wang,

Wenwen Li

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Amid the escalating demand for heightened realism across diverse sectors such as film, television, gaming, tourism, virtual display, and preservation of cultural heritage, there has been a notable advancement in reverse modeling technology that facilitates extraction three-dimensional models from image sequences. This study focuses on classification 3D reconstruction animation restoration historical scenes. It delves into technical pathways scenes, employing clustering-based Scale Invariant Feature Transform (SIFT) feature-matching acceleration algorithm matching features. Subsequently, it integrates Bundler method camera self-calibration with Patch-based Multi-view Stereo (PMVS) dense reconstruction, culminating assembly testing reconstructed scene. The time SIFT is higher than standard when number images 10. algorithm’s longest are more 10 images. When greater 50, ratio sigma=60 sigma=120. indicates suitable accelerated large-scale sets. effect can be improved by appropriately decreasing value sigma. maximum difference between five independent vectors model 1 2 3.18. After scaling 2, narrowed to[ 0.01,0.03]. small error scenes 3~9 clear graphic texture indicate scene designed this paper high accuracy provides reference

Language: Английский

Exploring geospatial digital twins: a novel panorama-based method with enhanced representation of virtual geographic scenes in Virtual Reality (VR) DOI
Jinbin Zhang, Jun Zhu, Yuxuan Zhou

et al.

International Journal of Geographical Information Science, Journal Year: 2024, Volume and Issue: 38(11), P. 2301 - 2324

Published: Aug. 1, 2024

An important step in implementing geospatial digital twins is to enhance the expressiveness of virtual geographical scenes for physical world. However, existing cannot quickly express dynamically changing geographic environment remote users due inefficient handling modeling processes, user perception, and sharing. The research analysed concept characteristics twins, constructed scene ontology, based on which we developed spatiotemporal semantic rules designed a dynamic annotation algorithm representation scenes. Finally, investigated real-time transmission method panoramic video 5 G used immersive reality (IVR) realize experience immersion We selected specific containing multiple typical entities develop three prototype systems experimental analyses. results showed that proposed enabled view VR device. average latency this process was 14.72 seconds. Compared with by traditional methods, experiments advantageous comprehensiveness, timeliness, photorealism abilities user's perception.

Language: Английский

Citations

12
A Knowledge-Guided Fusion Visualisation Method of Digital Twin Scenes for Mountain Highways DOI Creative Commons

Ranran Tang,

Jun Zhu,

Ren Ying

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2023, Volume and Issue: 12(10), P. 424 - 424

Published: Oct. 15, 2023

Informatization is an important trend in the field of mountain highway management, and digital twin effective way to promote information management due complex diverse terrain mountainous areas, high complexity road scene modeling low visualisation efficiency. It challenging construct scenarios efficiently for highways. To solve this problem, article proposes a knowledge-guided fusion expression method scenes First, we explore features interrelationships establish knowledge graph scenes. Second, by utilizing spatial semantic constraint rules, achieve efficient basic geographic dynamic static ancillary facilities, thereby reducing modeling. Finally, multi-level publishing scheme established improve efficiency visualisation. On basis, prototype system developed, case experimental analysis conducted validate research. The results experiment indicate that suggested can accomplish modelling through guidance constraints. Moreover, construction time model less than 5.7 ms; meanwhile, drawing maintained above 60 FPS. Thus, twinned be achieved quickly efficiently, effect replicating reality with virtuality accomplished, informatisation capacity highways enhanced.

Language: Английский

Citations

9
Low-Cost, LiDAR-Based, Dynamic, Flood Risk Communication Viewer DOI Creative Commons
Debra F. Laefer, Evan O’Keeffe, Kshitij Chandna

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(4), P. 592 - 592

Published: Feb. 9, 2025

This paper proposes a flood risk visualization method that is (1) readily transferable (2) hyperlocal, (3) computationally inexpensive, and (4) geometrically accurate. proposal for communication, to provide high-resolution, three-dimensional at the sub-meter level. The couples laser scanning point cloud with algorithms produce textured floodwaters, achieved through compounding multiple sine functions in graphics shader. hyper-local approach enhanced by ability portray changes (i) watercolor, (ii) texture, (iii) motion (including dynamic heights) various prediction scenarios. Through decoupling physics-based predictions from visualization, dynamic, viewer was produced modest processing resources involving only single, quad-core processor frequency around 4.30 GHz no card. system offers several major advantages. enables its use on browser or virtual reality hardware and, thus, promotes local dissemination planning, mitigation. can be used any scenario where water interfaces built environment, including inside of pipes. When tested coastal inundation hurricane, 92% neighborhood participants found it more effective communicating than traditional 2D mapping warnings provided governmental authorities.

Language: Английский

Citations

0
AI-Assisted Urban Flood Prevention Services Decision-Making Framework With Multi-Dimensional Data Fusion via Govern-Intranet DOI Open Access
Xiaohu Fan, Jing Zeng,

Xuejiao Pang

et al.

International Journal of Web Services Research, Journal Year: 2025, Volume and Issue: 22(1), P. 1 - 25

Published: May 7, 2025

Urban flood prevention faces challenges in real-time monitoring, data integration, and decision-making support, particularly under constraints of sensitive security efficient emergency response. This study proposes an artificial intelligence-assisted framework for urban prevention, integrating multi-dimensional fusion via intranet. A city-level digital twin platform is developed, combining sensor data, meteorological information, social media using a geographic information system, the Internet Things, intelligence algorithms. The ensures secure processing through intranet-based operations, enhancing prediction accuracy response efficiency. system was successfully implemented Hebi City, Henan Province, demonstrating significant improvements risk management. research advances resilience provides scientific basis management smart cities.

Language: Английский

Citations

0
A method for assessing urban flood impacts by combining hydrodynamic models with entity semantic evolution DOI Creative Commons
Pei Dang, Pei Dang, Chao Dang

et al.

International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)

Published: June 5, 2025

Language: Английский

Citations

0
Multilevel data simplification methods for flood process visualizations based on visual perceptions DOI Creative Commons
Yi Li,

Zhiguo Gao,

Dongchuan Wang

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: March 26, 2024

Visualizations of flood processes require a balance between scientific authenticity and realistic expressions. As the area increases, amounts time-series data that are produced by models often exceed capacity computer rendering, leading to poor user experiences low visualization effectiveness. Therefore, this study carried out visual perception experiments proposed multilevel simplification scheduling method for process based on perceptions. This first simplifies feature point selection according conclusions related perception, then triangulated irregular networks built, finally, rendering achieved through multiple levels detail combined with ranges. An experimental analysis using 3D prototype system shows can improve efficiency expressions while preserving morphology features.

Language: Английский

Citations

2
Server-enabled mixed reality for flood risk communication: On-site visualization with digital twins and multi-client support DOI
Ryoma Tsujimoto, Tomohiro Fukuda, Nobuyoshi Yabuki

et al.

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: 177, P. 106054 - 106054

Published: April 24, 2024

Language: Английский

Citations

2
3D visualisation method for urban road waterlogging based on mobile augmented reality DOI Creative Commons
Xuequan Zhang,

Xinlong Guo,

Hongchu Yu

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: July 16, 2024

3D waterlogging visualisation is an immersive method to understand how water accumulates in specific areas. Since urban involves complex subsystems above and below the ground, augmented reality (AR) especially effective for risk perception. In this paper, a road based on mobile proposed. The situation simulated by integrating open-source Storm Water Management Model (SWMM) Weighted Cellular Automata 2D Inundation (WCA2D). pipe network inundation volume objects are constructed organised as basic geospatial AR visualisation. Then, flow results mapped fused with objects, achieving enhanced reality. applied case study Wuhan, China. demonstrate that underground drainage surface runoff processes can be presented intuitively from perspective of AR. scene rendering multilevel index smooth, FPS more than 30 frames. This research provides methodological practical references general public increase awareness make emergency decisions.

Language: Английский

Citations

2
Local-Peak Scale-Invariant Feature Transform for Fast and Random Image Stitching DOI Creative Commons
Hao Li, Lipo Wang,

Tianyun Zhao

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(17), P. 5759 - 5759

Published: Sept. 4, 2024

Image stitching aims to construct a wide field of view with high spatial resolution, which cannot be achieved in single exposure. Typically, conventional image techniques, other than deep learning, require complex computation and are thus computationally expensive, especially for large raw images. In this study, inspired by the multiscale feature fluid turbulence, we developed fast point detection algorithm named local-peak scale-invariant transform (LP-SIFT), based on local peaks method. By combining LP-SIFT RANSAC stitching, speed can improved orders compared original SIFT Benefiting from adjustable size interrogation window, demonstrates comparable or even less time commonly used algorithms, while achieving better results. Nine images (over 2600 × 1600 pixels), arranged randomly without prior knowledge, stitched within 158.94 s. The is highly practical applications requiring diverse application scenes, e.g., terrain mapping, biological analysis, criminal investigation.

Language: Английский

Citations

1
A Knowledge-Guided Intelligent Analysis Method of Geographic Digital Twin Models: A Case Study on the Diagnosis of Geometric Deformation in Tunnel Excavation Profiles DOI Creative Commons
Ce Liang,

Jun Zhu,

Jinbin Zhang

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(3), P. 78 - 78

Published: Feb. 29, 2024

It is essential to establish a digital twin scene, which helps depict the dynamically changing geographical environment accurately. Digital twins could improve refined management level of intelligent tunnel construction; however, research on models primarily focuses modeling and visual description, has low analysis efficiency. This paper proposes knowledge-guided method for geometric deformation excavation profile twins. Firstly, dynamic data-driven knowledge graph scenes was constructed describe Secondly, an diagnosis algorithm contour designed by guidance. Thirdly, multiple variables were jointly used support scene fusion visualization scenes. Finally, case selected implement experimental analysis. The results demonstrate that in this article can achieve accurate description objects their relationships scenes, supports rapid twin. speed increased more than 90% cognitive efficiency improved 70%. complexity difficulty operation are reduced, diagnostic ability standardization geographic model effectively improved.

Language: Английский

Citations

0