Disparity Estimation Using a Quad-Pixel Sensor
<|reference_start|>Disparity Estimation Using a Quad-Pixel Sensor: A quad-pixel (QP) sensor is increasingly integrated into commercial mobile cameras. The QP sensor has a unit of 2$\times$2 four photodiodes under a single microlens, generating multi-directional phase shifting when out-focus blurs occur. Similar to a dual-pixel (DP) sensor, the phase shifting can be regarded as stereo disparity and utilized for depth estimation. Based on this, we propose a QP disparity estimation network (QPDNet), which exploits abundant QP information by fusing vertical and horizontal stereo-matching correlations for effective disparity estimation. We also present a synthetic pipeline to generate a training dataset from an existing RGB-Depth dataset. Experimental results demonstrate that our QPDNet outperforms state-of-the-art stereo and DP methods. Our code and synthetic dataset are available at https://github.com/Zhuofeng-Wu/QPDNet.<|reference_end|>
@article{wu2024disparity,
    title={Disparity Estimation Using a Quad-Pixel Sensor},
    author={Zhuofeng Wu, Doehyung Lee, Zihua Liu, Kazunori Yoshizaki, Yusuke
  Monno, Masatoshi Okutomi},
    journal={arXiv preprint arXiv:2409.00665},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.00665},
    primaryClass={cs.CV}
}