Spherical light field rendering in application for analysis by synthesis
| Autor: | M. Langer, Christof Rezk-Salama, Severin Todt, K-D Kuhnert, Andreas Kolb |
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| Rok vydání: | 2008 |
| Předmět: |
General Computer Science
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Graphics processing unit Cognitive neuroscience of visual object recognition Image-based modeling and rendering View synthesis Computer graphics (images) RGB color model Computer vision Artificial intelligence business Ghosting Pose Light field |
| Zdroj: | International Journal of Intelligent Systems Technologies and Applications. 5:304 |
| ISSN: | 1740-8873 1740-8865 |
| DOI: | 10.1504/ijista.2008.021293 |
| Popis: | This paper presents a novel approach for object classification and pose estimation which employs spherical light field rendering to generate virtual views based on the synthesis parameters determined and successively refined in a two-stage analysis by synthesis process. Compared with previous object recognition techniques, the presented approach provides a significant improvement in terms of object classification quality and computational efficiency. Our Graphics Processing Unit based light field renderer exploits per-pixel depth information available with modern Time-Of-Flight sensors like the Photonic Mixer Device camera for high-quality image synthesis in real-time. The renderer uses combined per-pixel RGB and depth values to minimise ghosting artefacts to a non-noticeable amount and employs a spherical parameterisation to ensure full 6 d.f. for virtual view synthesis. Synthetic views are used in our two-stage analysis by synthesis technique which implements a pre-classification and pre-pose-estimation to reduce parameter search space, thus, providing improved object classification quality at less computation time. |
| Databáze: | OpenAIRE |
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