Abstract
We propose a method to acquire 3D light fields using a hand-held camera, and describe several computational photography applications facilitated by our approach. As our input we take an image sequence from a camera translating along an approximately linear path with limited camera rotations. Users can acquire such data easily in a few seconds by moving a hand-held camera. We include a novel approach to resample the input into regularly sampled 3D light fields by aligning them in the spatio-temporal domain, and a technique for high-quality disparity estimation from light fields. We show applications including digital refocusing and synthetic aperture blur, foreground removal, selective colorization, and others.
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Using cv::goodFeaturesToTrack().
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This project was partially supported by funding from the Swiss Commission for Technology and Innovation CTI through project no. 15592.1 PFES-ES.
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Donatsch, D., Bigdeli, S.A., Robert, P. et al. Hand-held 3D light field photography and applications. Vis Comput 30, 897–907 (2014). https://doi.org/10.1007/s00371-014-0979-5
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DOI: https://doi.org/10.1007/s00371-014-0979-5