mlsanityData to 14 Oct 2026

Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding

arXiv 2212.01920 ↗First posted 4 Dec 2022cs.CV cs.ROcited by 0

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Abstract (arXiv)

6D object pose estimation problem has been extensively studied in the field of Computer Vision and Robotics. It has wide range of applications such as robot manipulation, augmented reality, and 3D scene understanding. With the advent of Deep Learning, many breakthroughs have been made; however, approaches continue to struggle when they encounter unseen instances, new categories, or real-world challenges such as cluttered backgrounds and occlusions. In this study, we will explore the available methods based on input modality, problem formulation, and whether it is a category-level or instance-level approach. As a part of our discussion, we will focus on how 6D object pose estimation can be used for understanding 3D scenes.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 65 of its 89 references that are in the map. First posted on arXiv 4 Dec 2022.

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65 of 89 references.

References · 65

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38 more
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