6D pose estimation using an improved method based on point pair features
J Vidal, CY Lin, R Martí - 2018 4th international conference on …, 2018 - ieeexplore.ieee.org
J Vidal, CY Lin, R Martí
2018 4th international conference on control, automation and …, 2018•ieeexplore.ieee.orgThe Point Pair Feature [4] has been one of the most successful 6D pose estimation method
among model-based approaches as an efficient, integrated and compromise alternative to
the traditional local and global pipelines. During the last years, several variations of the
algorithm have been proposed. Among these extensions, the solution introduced by
Hinterstoisser et al.[6] is a major contribution. This work presents a variation of this PPF
method applied to the SIXD Challenge datasets presented at the 3rd International Workshop …
among model-based approaches as an efficient, integrated and compromise alternative to
the traditional local and global pipelines. During the last years, several variations of the
algorithm have been proposed. Among these extensions, the solution introduced by
Hinterstoisser et al.[6] is a major contribution. This work presents a variation of this PPF
method applied to the SIXD Challenge datasets presented at the 3rd International Workshop …
The Point Pair Feature [4] has been one of the most successful 6D pose estimation method among model-based approaches as an efficient, integrated and compromise alternative to the traditional local and global pipelines. During the last years, several variations of the algorithm have been proposed. Among these extensions, the solution introduced by Hinterstoisser et al. [6] is a major contribution. This work presents a variation of this PPF method applied to the SIXD Challenge datasets presented at the 3rd International Workshop on Recovering 6D Object Pose held at the ICCV 2017. We report an average recall of 0.77 for all datasets and overall recall of 0.82, 0.67, 0.85, 0.37, 0.97 and 0.96 for hinterstoisser, tless, tudlight, rutgers, tejani and doumanoglou datasets, respectively.
ieeexplore.ieee.org
以上显示的是最相近的搜索结果。 查看全部搜索结果