poster

A seamless texture color adjustment method for large-scale terrain reconstruction

Authors:

Hye sun Kim,

Yun ji Ban,

Chang joon ParkAuthors Info & Claims

SIGGRAPH '18: ACM SIGGRAPH 2018 Posters

Article No.: 56, Pages 1 - 2

https://doi.org/10.1145/3230744.3230788

Published: 12 August 2018 Publication History

Get Access

Abstract

We present a technique to generate realistic high quality texture with no seams suitable to reconstruct large-scale 3D terrains. We focused on adjusting color difference caused by camera variations and illumination transition for texture reconstruction pipelines. Seams between separated processing areas should also be considered important in large terrain models. The proposed technique corrects these problems by normalizing texture colors and interpolating texture adjustment colors.

Supplementary Material

ZIP File (56-226.zip)

Supplemental files.

Download
1.59 MB

MP4 File (56-226.mp4)

Download
38.22 MB

References

[1]

Michael Waechter, Nils Moehrle and Michael Goesele. 2014. Let There Be Color! Large-Scale Texturing of 3D Reconstructions. ECCV 2014, pp 836--850

Crossref

Google Scholar

[2]

Faust Bernardiní, Ioana. M. Martin and Holly Rushmeier. 2001. High-Quality Texture Reconstruction from Multiple Scans. IEEE Transactions on Visualization and Computer Graphics, Volume 7, Issue 4, pages 318--332

Digital Library

Google Scholar

[3]

Kai Hormann and Michael. S. Floater. 2006. Mean Value Coordinates for arbitrary planar polygons, Journal ACM Transactions on Graphics(TOG), Volume 25, Issue 4, pages 1424--1441

Digital Library

Google Scholar

Cited By

View all

Wang FZhu HCai HQu WZhang SLiu Z(2022)A Parallel Method for Texture Reconstruction in Large-Scale 3D Automatic Modeling Based on Oblique PhotographyRemote Sensing10.3390/rs1409216014:9(2160)Online publication date: 30-Apr-2022
https://doi.org/10.3390/rs14092160
Kang KPark C(2022)Lightweight method with controllable appearance details for 3D reconstructed building models2022 13th International Conference on Information and Communication Technology Convergence (ICTC)10.1109/ICTC55196.2022.9952804(2034-2036)Online publication date: 19-Oct-2022
https://doi.org/10.1109/ICTC55196.2022.9952804
Kang KPark C(2021)Simplification method of photogrammetry building models based on vectorization techniques2021 International Conference on Information and Communication Technology Convergence (ICTC)10.1109/ICTC52510.2021.9620860(293-295)Online publication date: 20-Oct-2021
https://doi.org/10.1109/ICTC52510.2021.9620860
Show More Cited By

Index Terms

A seamless texture color adjustment method for large-scale terrain reconstruction
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Computational photography

Recommendations

Reproduction of global impression of landscape images by improved texture reconstruction methods

In order to reproduce the atmosphere or the global impression of the landscape images we have created model patterns by reconstructing the texture of the whole images. We have first segmented full-color landscape images into patches of same color after ...
Color texture analysis using CFA chromatic co-occurrence matrices

Most color cameras are fitted with a single sensor that provides color filter array (CFA) images, in which each pixel is characterized by one of the three color components (either red, green, or blue). To produce a color image, the two missing color ...
Luminance-based adaptive color saturation adjustment

A novel luminance-based adaptive color saturation adjustment method to strengthen video images without producing oversaturated or color contour artifacts are proposed in this paper. Based on the luminance information, the relations between luminance ...

Comments

Information & Contributors

Information

Published In

SIGGRAPH '18: ACM SIGGRAPH 2018 Posters

August 2018

148 pages

ISBN:9781450358170

DOI:10.1145/3230744

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 August 2018

Check for updates

Author Tags

Qualifiers

Poster

Funding Sources

Ministry of Science ICT and Future Planning

Conference

SIGGRAPH '18

Sponsor:

SIGGRAPH

SIGGRAPH '18: Special Interest Group on Computer Graphics and Interactive Techniques Conference

August 12 - 16, 2018

British Columbia, Vancouver, Canada

Acceptance Rates

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
188
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)1

Reflects downloads up to 10 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Wang FZhu HCai HQu WZhang SLiu Z(2022)A Parallel Method for Texture Reconstruction in Large-Scale 3D Automatic Modeling Based on Oblique PhotographyRemote Sensing10.3390/rs1409216014:9(2160)Online publication date: 30-Apr-2022
https://doi.org/10.3390/rs14092160
Kang KPark C(2022)Lightweight method with controllable appearance details for 3D reconstructed building models2022 13th International Conference on Information and Communication Technology Convergence (ICTC)10.1109/ICTC55196.2022.9952804(2034-2036)Online publication date: 19-Oct-2022
https://doi.org/10.1109/ICTC55196.2022.9952804
Kang KPark C(2021)Simplification method of photogrammetry building models based on vectorization techniques2021 International Conference on Information and Communication Technology Convergence (ICTC)10.1109/ICTC52510.2021.9620860(293-295)Online publication date: 20-Oct-2021
https://doi.org/10.1109/ICTC52510.2021.9620860
Cho SShin WKim NJeong JIn H(2020)Priority Determination to Apply Artificial Intelligence Technology in Military Intelligence AreasElectronics10.3390/electronics91221879:12(2187)Online publication date: 18-Dec-2020
https://doi.org/10.3390/electronics9122187
Kang KPark C(2020)Real-Time Snow Cover Map Generation for Virtual City Tours2020 International Conference on Information and Communication Technology Convergence (ICTC)10.1109/ICTC49870.2020.9289542(1735-1737)Online publication date: 21-Oct-2020
https://doi.org/10.1109/ICTC49870.2020.9289542
Meinhardt-Llopis EdAutume M(2019)3D Texturing From Multi-Date Satellite Images2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)10.1109/ICCVW.2019.00275(2197-2205)Online publication date: Oct-2019
https://doi.org/10.1109/ICCVW.2019.00275

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

Supplementary Material

References

Cited By

Index Terms

Recommendations

Reproduction of global impression of landscape images by improved texture reconstruction methods

Color texture analysis using CFA chromatic co-occurrence matrices

Luminance-based adaptive color saturation adjustment

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations