Procedural Restoration of Texture and Restructuring Geometry From Facade Image

We present a novel methodology to procedurally restore facade texture from images, where severe occlusions and lighting variations occur, making the textures difficult to reconstruct effectively. A refinement strategy is designed, which includes an iterative weighted-average algorithm, to restore an...

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Main Authors: J. Divya Udayan, Hyungseok Kim
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8225622/
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author J. Divya Udayan
Hyungseok Kim
author_facet J. Divya Udayan
Hyungseok Kim
author_sort J. Divya Udayan
collection DOAJ
description We present a novel methodology to procedurally restore facade texture from images, where severe occlusions and lighting variations occur, making the textures difficult to reconstruct effectively. A refinement strategy is designed, which includes an iterative weighted-average algorithm, to restore and update the high-quality consensus texture of the targeted building. Our approach combines component-based structure analysis and rule-based texture recovery techniques that are suitable for removing the occluded areas from a given building facade. We demonstrate our framework on several real-world buildings with varying amounts of occlusion, and show that our approach can be used to generate 3-D buildings with far more aesthetic quality than the previous approaches.
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spelling doaj.art-4b6a0ee9fd954ea69941753714b3b2522022-12-21T22:23:22ZengIEEEIEEE Access2169-35362018-01-0162645265310.1109/ACCESS.2017.27847988225622Procedural Restoration of Texture and Restructuring Geometry From Facade ImageJ. Divya Udayan0https://orcid.org/0000-0002-5821-5835Hyungseok Kim1School of Information Technology and Engineering, VIT University, Vellore, IndiaDepartment of Software, Konkuk University, Seoul, South KoreaWe present a novel methodology to procedurally restore facade texture from images, where severe occlusions and lighting variations occur, making the textures difficult to reconstruct effectively. A refinement strategy is designed, which includes an iterative weighted-average algorithm, to restore and update the high-quality consensus texture of the targeted building. Our approach combines component-based structure analysis and rule-based texture recovery techniques that are suitable for removing the occluded areas from a given building facade. We demonstrate our framework on several real-world buildings with varying amounts of occlusion, and show that our approach can be used to generate 3-D buildings with far more aesthetic quality than the previous approaches.https://ieeexplore.ieee.org/document/8225622/3D reconstructionfeature extractionimage processingimage texture analysis
spellingShingle J. Divya Udayan
Hyungseok Kim
Procedural Restoration of Texture and Restructuring Geometry From Facade Image
IEEE Access
3D reconstruction
feature extraction
image processing
image texture analysis
title Procedural Restoration of Texture and Restructuring Geometry From Facade Image
title_full Procedural Restoration of Texture and Restructuring Geometry From Facade Image
title_fullStr Procedural Restoration of Texture and Restructuring Geometry From Facade Image
title_full_unstemmed Procedural Restoration of Texture and Restructuring Geometry From Facade Image
title_short Procedural Restoration of Texture and Restructuring Geometry From Facade Image
title_sort procedural restoration of texture and restructuring geometry from facade image
topic 3D reconstruction
feature extraction
image processing
image texture analysis
url https://ieeexplore.ieee.org/document/8225622/
work_keys_str_mv AT jdivyaudayan proceduralrestorationoftextureandrestructuringgeometryfromfacadeimage
AT hyungseokkim proceduralrestorationoftextureandrestructuringgeometryfromfacadeimage