Acquisition of Aerial Light Fields

Indrajit Kurmi, K. S. Venkatesh


Since its inception in computer graphics community light field has drawn a lot of attention and interest. By densly sampling the plenoptic function light fields present an alternative way to represent and produce a faithful reconstruction of 3D scenes. But acquisition of densely sampled light fields require camera arrays, robotic arms or newly developed plenoptic cameras. The light fields captured using the existential technologies are limited to scenes containing limited complexity. In this paper we propose to use unmanned aerial vehicle for acquisition of larger unstructured aerial light fields. We aim to capture light fields of larger objects and scenes which are not possible by traditional light field acquisition setup. We combine the data from IMU and state estimated using homography with a Kalman filter framework. Frames which gives a minimum error (approximation of free form camera surface to traditional parameterization) are selected as perspective images of light fields. Rendering algorithm is devised to support the unstructured camera surface and to avoid rebinning of image data.


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Paper Citation

in Harvard Style

Kurmi I. and Venkatesh K. (2015). Acquisition of Aerial Light Fields . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 272-277. DOI: 10.5220/0005362002720277

in Bibtex Style

author={Indrajit Kurmi and K. S. Venkatesh},
title={Acquisition of Aerial Light Fields},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},

in EndNote Style

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Acquisition of Aerial Light Fields
SN - 978-989-758-089-5
AU - Kurmi I.
AU - Venkatesh K.
PY - 2015
SP - 272
EP - 277
DO - 10.5220/0005362002720277