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Deep Learning based 6D Object Pose Estimation using Mask R-CNN for instance segmentation and Point Cloud Completion for robust RGB-D pose prediction. Implements rotation and translation regression with ADD / ADD-S evaluation metrics using PyTorch, OpenCV, and Open3D.
Highlighting the work in paper "Relational Epipolar Graph for Relative Pose Estimation" and thesis titled "GRAPH-BASED RELATIVE POSE ESTIMATION WITH EPIPOLAR GEOMETRY SUPERVISION FOR VISUAL SLAM"