Procedural Restoration of Texture and Restructuring Geometry From Facade Image

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
More Details
ISSN:21693536
DOI:10.1109/ACCESS.2017.2784798
Published in:IEEE Access
Language:English