Shape reconstruction using fisheye and projective cameras
| Autor: | Konstantina Kottari, Konstantinos K. Delibasis |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering Field of view 02 engineering and technology Solid modeling Iterative reconstruction Image segmentation Silhouette Computer graphics (images) 0202 electrical engineering electronic engineering information engineering Pinhole camera model 020201 artificial intelligence & image processing Computer vision Artificial intelligence Three-CCD camera Omnidirectional antenna business ComputingMethodologies_COMPUTERGRAPHICS Mathematics |
| Zdroj: | 2016 IEEE International Conference on Imaging Systems and Techniques (IST). |
| Popis: | Reconstructing shape from silhouettes is an interesting topic in computer vision. In the case of projective (pinhole) cameras, this task has been solved with several variations. The increasing use of omnidirectional cameras, due to their apparent advantage of covering 180 degrees field of view, necessitates the application of shape from silhouette in cases of mixed type cameras, a subject not very well studied. In this work we describe an experimental setup of three very low cost projective IP cameras, combined with a ceiling-based fisheye camera (a special type of omni-directional camera). Results are presented in reconstructing synthetic 3D human models, as well as real human subjects. Results show that including the fisheye camera enhances the accuracy of the reconstruction. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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