Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval

@article{Xie2015DeepshapeDL,
  title={Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval},
  author={Jin Xie and Yi Fang and Fan Zhu and Edward K. Wong},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={1275-1283}
}
Complex geometric structural variations of 3D model usually pose great challenges in 3D shape matching and retrieval. In this paper, we propose a high-level shape feature learning scheme to extract features that are insensitive to deformations via a novel discriminative deep auto-encoder. First, a multiscale shape distribution is developed for use as input to the auto-encoder. Then, by imposing the Fisher discrimination criterion on the neurons in the hidden layer, we developed a novel… CONTINUE READING
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