التفاصيل البيبلوغرافية
| العنوان: |
Disparity Estimation Using a Quad-Pixel Sensor |
| المؤلفون: |
Wu, Zhuofeng, Lee, Doehyung, Liu, Zihua, Yoshizaki, Kazunori, Monno, Yusuke, Okutomi, Masatoshi |
| سنة النشر: |
2024 |
| المجموعة: |
Computer Science |
| مصطلحات موضوعية: |
Computer Science - Computer Vision and Pattern Recognition |
| الوصف: |
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. |
| نوع الوثيقة: |
Working Paper |
| URL الوصول: |
http://arxiv.org/abs/2409.00665 |
| رقم الانضمام: |
edsarx.2409.00665 |
| قاعدة البيانات: |
arXiv |