SHREC ’ 15 Track : Non-rigid 3 D Shape Retrieval †

@inproceedings{Lian2016SHREC1,
  title={SHREC ’ 15 Track : Non-rigid 3 D Shape Retrieval †},
  author={Zhouhui Lian and Jinbo Zhang and Sunoh Choi and Hanan ElNaghy and Jihad El-Sana and Takahiko Furuya and Andrea Giachetti and Reto Guler and Liyuanjun Lai and Chunchun Li and Huali Li and Frederico A. Limberger and R. Martin and Rafael Umino Nakanishi and Anselmo Ramalho Pitombeira Neto and Luis Gustavo Nonato and Ryutarou Ohbuchi and Kirill Pevzner and David Pickup and P. Rosin and Andrei Sharf and Longfei Sun and Xiangping Sun and Sibel Tari and Gozde Unal and Richard C. Wilson},
  year={2016}
}
Sparse features have been successfully used in shape retrieval, by encoding feature descriptors into global shape signatures. We investigate how sparse features based on saliency models affect retrieval and provide recommendations on good saliency models for shape retrieval. Our results show that randomly selecting points on the surface produces better retrieval performance than using any of the evaluated salient keypoint detection, including ground-truth. We discuss the reasons for and… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 30 references

Schelling points on 3D surface meshes

View 6 Excerpts
Highly Influenced

Fast Point Feature Histograms (FPFH) for 3D registration

2009 IEEE International Conference on Robotics and Automation • 2009
View 14 Excerpts
Highly Influenced

Intrinsic shape signatures: A shape descriptor for 3D object recognition

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops • 2009
View 12 Excerpts
Highly Influenced

Surface feature detection and description with applications to mesh matching

2009 IEEE Conference on Computer Vision and Pattern Recognition • 2009
View 11 Excerpts
Highly Influenced

Cluster-Based Point Set Saliency

2015 IEEE International Conference on Computer Vision (ICCV) • 2015
View 7 Excerpts
Highly Influenced

L

D. Giorgi, S. Biasotti
Paraboschi, Shape retrieval contest 2007: Watertight models track • 2007
View 7 Excerpts
Highly Influenced

Learning a Descriptor-Specific 3D Keypoint Detector

2015 IEEE International Conference on Computer Vision (ICCV) • 2015
View 1 Excerpt

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