Embedded Files
This work presents the method to generate facade texture eliminating the occlusions of foreground objects from multi-view images.
Rectification
Rectification
Extract rectified facade region via vanishing points.
Input image and R.O.I. selection
Line segments for vanishing points extraction
Rectified facade texture
Repetitive pattern analysis
Repetitive pattern analysis
- Analyze the repetitive pattern for given facades.
- Analyze the structural information around of the occluded region.
Feature extraction : From the left, input, GFTT (or FAST) features, horizontal matches and vertical matches.
Region growing/merge - Horizontal : From the left, iteration 10, 50, 100 and final results.
Region growing/merge - Vertical : From the left, iteration 10, 50, 100 and final results.
Repetitive patterns
Occlusion Detection
Occlusion Detection
Detection occluded regions of each facade from given images, the camera information of each image and 3D building model.
- Graph-cut based segmentation : From the left, rectified image, user stroke, over-segmentation and occlusion mask.
- Flood-fill based segmentation : From the left, rectified image, user stroke and occlusion mask.
Multi-view integration
Multi-view integration
Generate the fronto-parallel texture via integration of the results of the multi-view.
Publication
Publication
- Seon Ho Oh and Soon Ki Jung, Facade Texture Inpainting for 3D City Reconstruction, Korea Computer Congress 2012, 2012.
Google Sites
Report abuse