Bibliographic Details
Title: |
Procedural Restoration of Texture and Restructuring Geometry From Facade Image |
Authors: |
J. Divya Udayan, Hyungseok Kim |
Source: |
IEEE Access, Vol 6, Pp 2645-2653 (2018) |
Publisher Information: |
IEEE, 2018. |
Publication Year: |
2018 |
Collection: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
Subject Terms: |
3D reconstruction, feature extraction, image processing, image texture analysis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
More Details: |
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. |
Document Type: |
article |
File Description: |
electronic resource |
Language: |
English |
ISSN: |
2169-3536 |
Relation: |
https://ieeexplore.ieee.org/document/8225622/; https://doaj.org/toc/2169-3536 |
DOI: |
10.1109/ACCESS.2017.2784798 |
Access URL: |
https://doaj.org/article/4b6a0ee9fd954ea69941753714b3b252 |
Accession Number: |
edsdoj.4b6a0ee9fd954ea69941753714b3b252 |
Database: |
Directory of Open Access Journals |