Seamless Texture Optimization for RGB-D Reconstruction

Fu, Yanping; Yan, Qingan; Liao, Jie; Zhou, Huajian; Tang, Jin; Xiao, Chunxia

doi:10.1109/tvcg.2021.3134105

Cited by 10 publications

(5 citation statements)

References 51 publications

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“…The initial data acquired when the UAV passed through the different paths were imported into a mature 3D reconstruction software named "Context Capture". After image correction, aerial triangulation encryption, multi-view image matching, regional network adjustment, point cloud matching, triangulation, texture mapping, and other steps of 3D reconstruction [30], a continuous triangle mesh model with real texture mapping was developed [31]. Finally, it was saved in OSGB [32] (OpenSceneGraph Binary, a binary storage of 3D model data with embedded linked texture data) format to generate the 3D original terrain model.…”

Section: Data Acquisitionmentioning

confidence: 99%

A Three-Dimensional Triangle Mesh Integration Method for Oblique Photography Model Data

Che,

Su,

et al. 2023

Buildings

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Oblique photography 3D models are increasingly used in 3D modeling and visualization, urban planning and design, smart cities, smart mines, and other fields. To ensure that 3D models can be replaced and updated, it is necessary to deal with the model holes and incomplete areas caused by the incorrect matching of feature points in the modeling process. Moreover, in 3D models of the planning and management of certain mining areas or urban areas to be developed, regions can also be delineated for replacements and updates. Due to the unsatisfactory display effect of the manually modeled models used to replace and update, the authenticity of the model texture and the detail characteristics of the model triangle meshes cannot be guaranteed during integration. Therefore, this paper proposes a 3D model triangle mesh integration method for oblique photography data which integrates the real and complete 3D models used for replacement with the incomplete part or the part of the original model that needs to be replaced. The experimental results show that this method can integrate the original terrain model and the replacement model efficiently and quickly, the integrated model has no gap, and the display effect is good, effectively achieving model repair or model update and replacement.

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Section: Data Acquisitionmentioning

confidence: 99%

A Three-Dimensional Triangle Mesh Integration Method for Oblique Photography Model Data

Che,

Su,

et al. 2023

Buildings

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“…Since RGB-D cameras automatically adjust the exposure time of the captured RGB images to ensure that the observed dynamic range of intensities can be well represented by the limited capabilities of the sensor, other approaches proposed to estimate this exposure time to obtain a consistent high-dynamic-range color texture instead of directly fusing the raw low-dynamic-range images . More sophisticated methods formulated the problem as a large offline optimization objective to increase the overall sharpness of the reconstructed texture and the amount of reconstructed details Fu et al, 2021]. Recent work also considered online texture fusion in real time by storing texture tiles per voxel [Lee et al, 2020;Kim et al, 2022], as well as learning-based texture optimization using adversarial formulations [Oechsle et al, 2019;Huang et al, 2020b] or differentiable rendering [Dai et al, 2021].…”

Section: Appearance Reconstructionmentioning

confidence: 99%

Albedo estimation for real-time 3D reconstruction using RGB-D and IR data

Stotko

Weinmann

Klein

2019

ISPRS Journal of Photogrammetry and Remote Sensing

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“…Texture mapping is the colorization of a 3D mesh using one or more images [ 14 , 15 , 16 , 17 ]. In the latest applications, usually several overlapping images are available to texture the 3D mesh, and a technique to manage the redundant photometric information is required.…”

Section: Introductionmentioning

confidence: 99%

A Sequential Color Correction Approach for Texture Mapping of 3D Meshes

Dal’Col

Coelho

Madeira

et al. 2023

Sensors

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Texture mapping can be defined as the colorization of a 3D mesh using one or multiple images. In the case of multiple images, this process often results in textured meshes with unappealing visual artifacts, known as texture seams, caused by the lack of color similarity between the images. The main goal of this work is to create textured meshes free of texture seams by color correcting all the images used. We propose a novel color-correction approach, called sequential pairwise color correction, capable of color correcting multiple images from the same scene, using a pairwise-based method. This approach consists of sequentially color correcting each image of the set with respect to a reference image, following color-correction paths computed from a weighted graph. The color-correction algorithm is integrated with a texture-mapping pipeline that receives uncorrected images, a 3D mesh, and point clouds as inputs, producing color-corrected images and a textured mesh as outputs. Results show that the proposed approach outperforms several state-of-the-art color-correction algorithms, both in qualitative and quantitative evaluations. The approach eliminates most texture seams, significantly increasing the visual quality of the textured meshes.

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Seamless Texture Optimization for RGB-D Reconstruction

Cited by 10 publications

References 51 publications

A Three-Dimensional Triangle Mesh Integration Method for Oblique Photography Model Data

A Three-Dimensional Triangle Mesh Integration Method for Oblique Photography Model Data

Albedo estimation for real-time 3D reconstruction using RGB-D and IR data

A Sequential Color Correction Approach for Texture Mapping of 3D Meshes

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