An Occlusion and Noise-Aware Stereo Framework Based on Light Field Imaging for Robust Disparity Estimation

Stereo vision is widely studied for depth information extraction. However, occlusion and noise pose significant challenges to traditional methods due to failure in photo consistency. In this paper, an occlusion and noise-aware stereo framework named ONAF is proposed to get a robust depth estimation...

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Veröffentlicht in:	IEEE transactions on computers 2024-03, Vol.73 (3), p.764-777
Hauptverfasser:	Yang, Da, Cui, Zhenglong, Sheng, Hao, Chen, Rongshan, Cong, Ruixuan, Wang, Shuai, Xiong, Zhang
Format:	Artikel
Sprache:	eng
Schlagworte:	Cameras Data mining disparity estimation Estimation Imaging Information retrieval light field Light fields Low-frequency noise multi-direction Ray-EPI Occlusion refocusing Robustness Stereo vision Universal Serial Bus
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