Scalable Visual Exploration of 3D Shape Databases via Feature Synthesis and Selection

Author:

Chen XingyuORCID,Zeng GuangpingORCID,Kosinka JiříORCID,Telea AlexandruORCID

Publisher

Springer International Publishing

Reference40 articles.

1. Aim@Shape: Aim@shape digital shape workbench 5.0 (2019). http://visionair.ge.imati.cnr.it

2. Belongie, S., Malik, J., Puzicha, J.: Shape context: a new descriptor for shape matching and object recognition. In: Proceedings of the NIPS, pp. 831–837 (2001)

3. Bustos, B., Keim, D., Saupe, D., Schreck, T., Vranic, D.: Feature-based similarity search in 3D object databases. ACM Comput. Surv. 37(4), 345–387 (2005)

4. Chen, X., Zeng, G., Kosinka, J., Telea, A.: Visual exploration of 3D shape databases via feature selection. In: Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, pp. 42–53. INSTICC, SciTePress (2020). https://doi.org/10.5220/0008950700420053

5. Cyr, C.M., Kimia, B.B.: 3D object recognition using shape similiarity-based aspect graph. In: Proceedings of the IEEE ICCV, pp. 254–261 (2001)

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