#7355. RGB-Fusion: Monocular 3D reconstruction with learned depth prediction

October 2026publication date
Proposal available till 28-05-2025
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Journal’s subject area:
Electrical and Electronic Engineering;
Hardware and Architecture;
Human-Computer Interaction;
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Abstract:
Generating large-scale and high-quality 3D scene reconstruction from monocular images is an essential technical foundation in augmented reality and robotics. However, the apparent shortcomings make applying monocular 3D reconstruction to real-world practice challenging. In this work, we combine the advantage of deep learning and multi-view geometry to propose RGB-Fusion, which effectively solves the inherent limitations of traditional monocular reconstruction.
Keywords:
Depth refinement; Monocular 3D reconstruction; PnP algorithm; Pose estimation

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