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MF-3DPnP

Project information

MF-3DPnP is a non-learning-based pipeline for robust geometric pose estimation using monocular vision, sparse or dense depth, and optional inertial measurements (IMU). It is designed as a strong baseline for comparing pure geometric approaches to modern learning-based methods, with a particular focus on aerial and robotics datasets (such as EuRoC and TUM-VI).

computer vision multimodal Python pose estimation

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Created on

July 10, 2025

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