User-Perspective AR Magic Lens from Gradient-Based IBR and Semi-Dense Stereo
| Autor: | Tobias Höllerer, Domagoj Baricevic, Pradeep Sen, Matthew Turk |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Magic lens Stereo matching 020207 software engineering 02 engineering and technology Computer Graphics and Computer-Aided Design Rendering (computer graphics) Gradient based algorithm Computer graphics (images) Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Software Stereo camera ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | IEEE Transactions on Visualization and Computer Graphics. 23:1838-1851 |
| ISSN: | 1077-2626 |
| DOI: | 10.1109/tvcg.2016.2559483 |
| Popis: | We present a new approach to rendering a geometrically-correct user-perspective view for a magic lens interface, based on leveraging the gradients in the real world scene. Our approach couples a recent gradient-domain image-based rendering method with a novel semi-dense stereo matching algorithm. Our stereo algorithm borrows ideas from PatchMatch, and adapts them to semi-dense stereo. This approach is implemented in a prototype device build from off-the-shelf hardware, with no active depth sensing. Despite the limited depth data, we achieve high-quality rendering for the user-perspective magic lens. |
| Databáze: | OpenAIRE |
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