A Comprehensive Performance Evaluation of 3D Local Feature Descriptors

@article{Guo2015ACP,
  title={A Comprehensive Performance Evaluation of 3D Local Feature Descriptors},
  author={Yulan Guo and Mohammed Bennamoun and Ferdous Ahmed Sohel and Min Lu and Jianwei Wan and Ngai Ming Kwok},
  journal={International Journal of Computer Vision},
  year={2015},
  volume={116},
  pages={66-89}
}
A number of 3D local feature descriptors have been proposed in the literature. It is however, unclear which descriptors are more appropriate for a particular application. A good descriptor should be descriptive, compact, and robust to a set of nuisances. This paper compares ten popular local feature descriptors in the contexts of 3D object recognition, 3D shape retrieval, and 3D modeling. We first evaluate the descriptiveness of these descriptors on eight popular datasets which were acquired… CONTINUE READING
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