Region-based 3D Object Tracking

Posted on In , Views: Disqus:

3D物体跟踪算法SRT3D的研究笔记，包括以下论文的内容：

Papers
Cremers, D., Rousson, M., Deriche, R., 2007. A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape. Int J Comput Vision 72, 195–215. https://doi.org/10.1007/s11263-006-8711-1
Bibby, C., Reid, I., 2008. Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors, in: Forsyth, D., Zisserman, A. (Eds.), Computer Vision – ECCV 2008, Lecture Notes in Computer Science. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 831–844. https://doi.org/10.1007/978-3-540-88688-4_61
Hexner, J., Hagege, R.R., 2016. 2D-3D Pose Estimation of Heterogeneous Objects Using a Region Based Approach. Int J Comput Vis 118, 95–112. https://doi.org/10.1007/s11263-015-0873-2
Tjaden, H., Schwanecke, U., Schomer, E., 2017. Real-Time Monocular Pose Estimation of 3D Objects Using Temporally Consistent Local Color Histograms, in: 2017 IEEE International Conference on Computer Vision (ICCV). Presented at the 2017 IEEE International Conference on Computer Vision (ICCV), IEEE, Venice, pp. 124–132. https://doi.org/10.1109/ICCV.2017.23
Kehl, W., Tombari, F., Ilic, S., Navab, N., 2017. Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core, in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Presented at the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Honolulu, HI, pp. 465–473. https://doi.org/10.1109/CVPR.2017.57
Tjaden, H., Schwanecke, U., Schömer, E., Cremers, D., 2019. A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41, 1797–1812. https://doi.org/10.1109/TPAMI.2018.2884990
Huang, H., Zhong, F., Qin, X., 2021. Pixel-Wise Weighted Region-Based 3D Object Tracking using Contour Constraints. IEEE Trans. Visual. Comput. Graphics 1–1. https://doi.org/10.1109/TVCG.2021.3085197
Stoiber, M., Pfanne, M., Strobl, K.H., Triebel, R. and Albu-Schäffer, A., 2020. A sparse gaussian approach to region-based 6DoF object tracking. In Proceedings of the Asian Conference on Computer Vision.

研究笔记： SRT3D三维物体跟踪算法研究笔记