Okutomi-Monno Lab.
Institute of Science Tokyo
Dual-pixel (DP) and Quad-pixel (QP) sensors are increasingly integrated into modern cameras. Although originally designed for autofocus through phase-shift information, these sensors provide unique data that can be exploited for 3D scene understanding. Our research aims to enhance 3D geometry reconstruction by effectively leveraging data from both dual-pixel and quad-pixel sensors.
Publication:
FMDP: Leveraging a Foundation Model for Dual-Pixel Disparity Estimation
Doehyung Lee, Zhuofeng Wu, Yusuke Monno, and Masatoshi Okutomi
International Conference on Machine Vision Applications (MVA), 2025.
Publication:
Disparity Estimation Using a Quad-pixel Sensor
Zhuofeng Wu, Doehyung Lee, Zihua Liu, Kazunori Yoshizaki, Yusuke Monno, and Masatoshi Okutomi
British Machine Vision Conference (BMVC), 2024.