Enhanced automatic 2D-3D conversion using retinex in machine learning framework
| Autor: | Herrera Conejero, José Luis, Blanco Adán, Carlos Roberto del, García Santos, Narciso |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: | |
| Zdroj: | International Symposium on Consumer Electronics (ISCE 2015) | International Symposium on Consumer Electronics (ISCE 2015) | 24/06/2015-26/06/2015 | Madrid, Spain Archivo Digital UPM instname |
| Popis: | In this paper, we present an approach for automatically convert images from 2D to 3D. The algorithm uses a color + depth dataset to estimate a depth map of a query color image by searching structurally similar images in the dataset and fusing them. Our experimental results indicate that the inclusion of a retinex based stage for the query image and the dataset images improves the performance of the system on commonly-used databases and for different image descriptors. |
| Databáze: | OpenAIRE |
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