Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ACCESS.2017.2784798 | IEEE ACCESS |
Keywords | Field | DocType |
3D reconstruction, feature extraction, image processing, image texture analysis | Iterative reconstruction,Structure analysis,Computer vision,Noise measurement,Computer science,Artificial intelligence,Solid modeling,Image restoration,Facade,Distributed computing,Restructuring | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| j a divya udayan | 1 | 1 | 1.37 |
| HyungSeok Kim | 2 | 116 | 22.09 |