Journal
INTEGRATED COMPUTER-AIDED ENGINEERING
Volume 26, Issue 2, Pages 139-157Publisher
IOS PRESS
DOI: 10.3233/ICA-180593
Keywords
Optical flow; artificial compound eye; multi-aperture
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Funding
- National Natural Science Foundation of China [61672437, 61702428]
- New Generation Artificial Intelligence Science and Technology Major Project of Sichuan Province [2018GZDZX0043]
- Sichuan Science and Technology Program [2018GZ0185, 2018GZ0086, 2017GZ0159, 2017GZ0069]
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An artificial compound eye (ACE) is a bio-inspired vision sensor which mimics a natural compound eye (typical of insects). This artificial eye is able to visualize large fields of the outside world through multi-aperture. Due to its functioning, the ACE is subject to optical flow, that is an apparent motion of the object visualized by the eye. This paper proposes a method to estimate the optical flow based on capturing multiple images (multi-aperture). In this method, based on descriptors-based initial optical flows, a unified global energy function is presented to incorporate the information of multi-aperture and simultaneously recover the optical flows of multi-aperture. The energy function imposes a compound flow fields consistency assumption along with the brightness constancy and piecewise smoothness assumptions. This formula efficiently binds the flow field in time and space, and further enables view-consistent optical flow estimation. Experimental results on real and synthetic data demonstrate that the proposed method recovers view-consistent optical flows crossed multi-aperture and performs better than other optical flow methods on the multi-aperture images.
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