Multi-modal 6-DoF object pose tracking: integrating spatial cues with monocular RGB imagery
Author:
Funder
National Key Research and Development Program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13042-024-02336-8.pdf
Reference40 articles.
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2. Rad M, Lepetit V (2017) Bb8: a scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth. In: Proceedings of the IEEE international conference on computer vision, pp 3828–3836
3. Kehl W, Manhardt F, Tombari F, Ilic S, Navab N (2017) Ssd-6d: making rgb-based 3d detection and 6d pose estimation great again. In: Proceedings of the IEEE international conference on computer vision, pp 1521–1529
4. Xiang Y, Schmidt T, Narayanan V, Fox D (2017) Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes. arXiv preprint arXiv:1711.00199
5. Li B, Ouyang W, Sheng L, Zeng X, Wang X (2019) Gs3d: an efficient 3d object detection framework for autonomous driving. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 1019–1028
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