6D object pose estimation based on the attention mechanism

Guanyu Zhou

doi:10.1117/12.2626757

21 December 2021 6D object pose estimation based on the attention mechanism

Guanyu Zhou

Proceedings Volume 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021); 121561O (2021) https://doi.org/10.1117/12.2626757
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 2021, Sanya, China

Abstract

Estimating a 6D object pose is an important and longstanding computer vision task. Though existing deep learning -based approaches have achieved inspiring results, there is still much room for improvement. In this paper, we present to introduce attention mechanism into object pose estimation method, which enables the network extract more distinguishing features on the objects to further get accurate object 6D pose. We verify the proposed method on the LINEMOD dataset, and the results show that our method achieves state-of-the-art performance.

Citation Download Citation

Guanyu Zhou "6D object pose estimation based on the attention mechanism", Proc. SPIE 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 121561O (21 December 2021); https://doi.org/10.1117/12.2626757

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KEYWORDS

Clouds

RGB color model

3D modeling

Image segmentation

3D image processing

Light sources and illumination

Computer aided design

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