Multiview Image Completion with Space Structure Propagation
| Autor: | Seung-Hwan Baek, Inchang Choi, Min H. Kim |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Structure (mathematical logic)
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Space (mathematics) Data structure Image (mathematics) k-nearest neighbors algorithm Set (abstract data type) Computer Science::Computer Vision and Pattern Recognition Computer graphics (images) Computer Science::Multimedia 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Topology (chemistry) ComputingMethodologies_COMPUTERGRAPHICS Coherence (physics) Mathematics |
| Zdroj: | CVPR |
| DOI: | 10.1109/cvpr.2016.59 |
| Popis: | We present a multiview image completion method that provides geometric consistency among different views by propagating space structures. Since a user specifies the region to be completed in one of multiview photographs casually taken in a scene, the proposed method enables us to complete the set of photographs with geometric consistency by creating or removing structures on the specified region. The proposed method incorporates photographs to estimate dense depth maps. We initially complete color as well as depth from a view, and then facilitate two stages of structure propagation and structure-guided completion. Structure propagation optimizes space topology in the scene across photographs, while structure-guide completion enhances, and completes local image structure of both depth and color in multiple photographs with structural coherence by searching nearest neighbor fields in relevant views. We demonstrate the effectiveness of the proposed method in completing multiview images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|