Hybrid Light Field Imaging For Improved Spatial Resolution And Depth Range
| Autor: | M. Zeshan Alam, Bahadir K. Gunturk |
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| Rok vydání: | 2018 |
| Předmět: |
FOS: Computer and information sciences
Computer science Aperture Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 01 natural sciences law.invention 010309 optics Optics law 0103 physical sciences Hybrid Stereo Imaging 0202 electrical engineering electronic engineering information engineering Image resolution Light Field Imaging Light-field camera business.industry Perspective (graphical) 020207 software engineering Computer Science Applications Stereo imaging Hardware and Architecture Hybrid system Computer Science::Computer Vision and Pattern Recognition Pattern recognition (psychology) Computer Vision and Pattern Recognition Artificial intelligence Light Field Resolution Enhancement business Software Light field |
| Popis: | Light field imaging involves capturing both angular and spatial distribution of light; it enables new capabilities, such as post-capture digital refocusing, camera aperture adjustment, perspective shift, and depth estimation. Micro-lens array (MLA) based light field cameras provide a cost-effective approach to light field imaging. There are two main limitations of MLA-based light field cameras: low spatial resolution and narrow baseline. While low spatial resolution limits the general purpose use and applicability of light field cameras, narrow baseline limits the depth estimation range and accuracy. In this paper, we present a hybrid stereo imaging system that includes a light field camera and a regular camera. The hybrid system addresses both spatial resolution and narrow baseline issues of the MLA-based light field cameras while preserving light field imaging capabilities. Comment: Machine Vision and Applications |
| Databáze: | OpenAIRE |
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