Optimizing RGB-D Fusion for Accurate 6DoF Pose Estimation

Lounès Saadi; Bassem Besbes; Sébastien Kramm; Abdelaziz Bensrhair

doi:10.1109/lra.2021.3061347

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JOURNAL ARTICLE

Optimizing RGB-D Fusion for Accurate 6DoF Pose Estimation

Lounès Saadi Bassem Besbes Sébastien Kramm Abdelaziz Bensrhair

Year: 2021 Journal: IEEE Robotics and Automation Letters Vol: 6 (2)Pages: 2413-2420 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/lra.2021.3061347

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Abstract

International audience

Keywords:

Computer science Artificial intelligence RGB color model Pose Computer vision Focus (optics) Noise (video) Object (grammar) 3D pose estimation Pattern recognition (psychology) Image (mathematics)

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Topics

Robot Manipulation and Learning

Physical Sciences → Engineering → Control and Systems Engineering

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Optimizing RGB-D Fusion for Accurate 6DoF Pose Estimation

Abstract

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