Blur aware metric depth estimation with multi-focus plenoptic cameras

نویسندگان

چکیده

While a traditional camera only captures one point of view scene, plenoptic or light-field camera, is able to capture spatial and angular information in single snapshot, enabling depth estimation from acquisition. In this paper, we present new metric algorithm using raw images multi-focus camera. The proposed approach especially suited for the configuration where several micro-lenses with different focal lengths are used. main goal our blur aware (BLADE) improve disparity defocus stereo by integrating both correspondence cues. We thus leverage it was previously considered drawback. explicitly derive an inverse projection model including providing estimates up scale factor. A method calibrate then proposed. take into account scaling achieve precise accurate estimates. Our results show that introducing cues improves estimation. demonstrate effectiveness framework calibration on relative setups real-world 3D complex scenes ground truth acquired lidar scanner.

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ژورنال

عنوان ژورنال: Computer Vision and Image Understanding

سال: 2023

ISSN: ['1090-235X', '1077-3142']

DOI: https://doi.org/10.1016/j.cviu.2023.103802