Layered Scene Reconstruction from Multiple Light Field Camera Views
| Autor: | Ole Johannsen, Bastian Goldluecke, Nico Marniok, Antonin Sulc |
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| Rok vydání: | 2017 |
| Předmět: |
Light-field camera
business.industry Computer science Epipolar geometry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Bundle adjustment 02 engineering and technology 01 natural sciences Visual hull law.invention 010101 applied mathematics Photometric stereo Camera auto-calibration law Computer Science::Computer Vision and Pattern Recognition Convex optimization 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence 0101 mathematics business Light field ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Computer Vision – ACCV 2016 ISBN: 9783319541860 ACCV (3) |
| Popis: | We propose a framework to infer complete geometry of a scene with strong reflections or hidden by partially transparent occluders from a set of 4D light fields captured with a hand-held light field camera. For this, we first introduce a variant of bundle adjustment specifically tailored to 4D light fields to obtain improved pose parameters. Geometry is recovered in a global framework based on convex optimization for a weighted minimal surface. To allow for non-Lambertian materials and semi-transparent occluders, the point-wise costs are not based on the principle of photo-consistency. Instead, we perform a layer analysis of the light field obtained by finding superimposed oriented patterns in epipolar plane image space to obtain a set of depth hypotheses and confidence scores, which are integrated into a single functional. |
| Databáze: | OpenAIRE |
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