Developing an optimized texture mapping for photorealistic 3D buildings

Lee, Jung-Il; Yang, Byungyun

doi:10.1111/tgis.12494

Cited by 8 publications

(9 citation statements)

References 37 publications

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“…Building texture images based on airborne data were created in the following studies: Lee and Yang 2019 [24] utilized oblique images captured from aircraft to generate textured images of the sides of buildings to improve the quality of 3D urban models. Some studies that utilized oblique images to create 3D city models employed the structure from motion technique [25].…”

Section: D Point Cloud Matchingmentioning

confidence: 99%

Geometric-based approach for linking various building measurement data to a 3D city model

Ogawa,

Sato,

Sekimoto

2024

PLoS ONE

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Currently, the Ministry of Land, Infrastructure, Transport, and Tourism (Japan) is in the process of developing an open 3D city model known as PLATEAU. Abundant measurement data related to buildings, including maps produced by private companies and mobile mapping system point clouds, have been collected to enhance the value of the 3D city model. To achieve this, it is necessary to identify the buildings for which measurement data is available. In this study, we propose and evaluate an efficient matching method for various building measurement data, primarily using geometric properties. In Numazu city, PLATEAU IDs were assigned to 88,525 Zenrin buildings as part of a private map. The results indicate that 90.6% of the polygons were matched. For aerial images, 93.6% of the extracted buildings matched the PLATEAU buildings, although only 70.9% of the PLATEAU data was extracted from the images. Using the level of detail 1 and 2 models, 46 textured building files were created from the mobile mapping system point cloud. In addition, the cover ratio for the laser profiling point cloud was mostly greater than 40%, which was higher than that of the mobile mapping system.

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Section: D Point Cloud Matchingmentioning

confidence: 99%

Geometric-based approach for linking various building measurement data to a 3D city model

Ogawa,

Sato,

Sekimoto

2024

PLoS ONE

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“…These processes are characterized by their non-invasive and varied methodological components such as data acquisition, data processing, point cloud visualisation, point cloud editing, DSM, and DTM generation (VanValkenburgh & Dufton 2020). The computational maps obtained were processed with spatial analysis tools based on 3D point clouds, resulting in elevation data contextualized in GIS, which expanded our understanding of the territory (Lee & Yang 2019).…”

Section: Field Work and Data Surveymentioning

confidence: 99%

Ciudad Antigua: from remote sensing to virtual interactive experience of a pre-Hispanic settlement in Colombia

Burbano

Mazuera

Meyer

et al. 2021

Artn.

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This study addresses the first photogrammetry reconstruction of Ciudad Antigua (CA), a pre-Hispanic archaeological site in Sierra Nevada de Santa Marta (SNSM), which is located in northern Colombia. The construction characteristics and symbolic relevance of places such as Ciudad Antigua, constitute a major part of the cultural heritage of Colombia. However, the remote location and limited public knowledge of the place have proven to be a disadvantage for the protection and conservation of this site. With this virtual representation project, we seek to fulfill three objectives: (1) Establish a strategy to preserve at-risk, remote archaeological sites through digital artifacts; (2) Use computational processes to go beyond representation and further analyze spatial components of the site; and (3) Spark and strengthen community interest in the history, architecture, design, and archaeology of SNSM. This study applies visualization and computation techniques to remote vestiges of cultural value, and demonstrates how these techniques can contribute to the social appropriation and protection of these ancient settlements. We created a functional prototype that could make the results of this research more readily available to the general public.

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“…Moreover, the triangle face in the same texture chart is invisible or has poor visual quality on the same image. Other standards (such as normal vector [26], area of the triangle face projected on the image [27]) are still required to assign an image label for each triangle face.…”

Section: D Texture Reconstructionmentioning

confidence: 99%

A Novel OpenMVS-Based Texture Reconstruction Method Based on the Fully Automatic Plane Segmentation for 3D Mesh Models

Xiao

Guo

et al. 2020

Remote Sensing

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The Markov Random Field (MRF) energy function, constructed by existing OpenMVS-based 3D texture reconstruction algorithms, considers only the image label of the adjacent triangle face for the smoothness term and ignores the planar-structure information of the model. As a result, the generated texture charts results have too many fragments, leading to a serious local miscut and color discontinuity between texture charts. This paper fully utilizes the planar structure information of the mesh model and the visual information of the 3D triangle face on the image and proposes an improved, faster, and high-quality texture chart generation method based on the texture chart generation algorithm of the OpenMVS. This methodology of the proposed approach is as follows: (1) The visual quality on different visual images of each triangle face is scored using the visual information of the triangle face on each image in the mesh model. (2) A fully automatic Variational Shape Approximation (VSA) plane segmentation algorithm is used to segment the blocked 3D mesh models. The proposed fully automatic VSA-based plane segmentation algorithm is suitable for multi-threaded parallel processing, which solves the VSA framework needed to manually set the number of planes and the low computational efficiency in a large scene model. (3) The visual quality of the triangle face on different visual images is used as the data term, and the image label of adjective triangle and result of plane segmentation are utilized as the smoothness term to construct the MRF energy function. (4) An image label is assigned to each triangle by the minimizing energy function. A texture chart is generated by clustering the topologically-adjacent triangle faces with the same image label, and the jagged boundaries of the texture chart are smoothed. Three sets of data of different types were used for quantitative and qualitative evaluation. Compared with the original OpenMVS texture chart generation method, the experiments show that the proposed approach significantly reduces the number of texture charts, significantly improves miscuts and color differences between texture charts, and highly boosts the efficiency of VSA plane segmentation algorithm and OpenMVS texture reconstruction.

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Developing an optimized texture mapping for photorealistic 3D buildings

Cited by 8 publications

References 37 publications

Geometric-based approach for linking various building measurement data to a 3D city model

Geometric-based approach for linking various building measurement data to a 3D city model

Ciudad Antigua: from remote sensing to virtual interactive experience of a pre-Hispanic settlement in Colombia

A Novel OpenMVS-Based Texture Reconstruction Method Based on the Fully Automatic Plane Segmentation for 3D Mesh Models

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