Shadow and Specularity Priors for Intrinsic Light Field Decomposition
| Autor: | Bastian Goldluecke, Michael Strecke, Ole Johannsen, Anna Alperovich |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Ground truth
business.industry Computer science Epipolar geometry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Regularization (mathematics) Specularity Shadow 0202 electrical engineering electronic engineering information engineering RGB color model 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Focus (optics) Light field ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319781983 EMMCVPR |
| DOI: | 10.1007/978-3-319-78199-0_26 |
| Popis: | In this work, we focus on the problem of intrinsic scene decomposition in light fields. Our main contribution is a novel prior to cope with cast shadows and inter-reflections. In contrast to other approaches which model inter-reflection based only on geometry, we model indirect shading by combining geometric and color information. We compute a shadow confidence measure for the light field and use it in the regularization constraints. Another contribution is an improved specularity estimation by using color information from sub-aperture views. The new priors are embedded in a recent framework to decompose the input light field into albedo, shading, and specularity. We arrive at a variational model where we regularize albedo and the two shading components on epipolar plane images, encouraging them to be consistent across all sub-aperture views. Our method is evaluated on ground truth synthetic datasets and real world light fields. We outperform both state-of-the art approaches for RGB+D images and recent methods proposed for light fields. |
| Databáze: | OpenAIRE |
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