Efficient 3D Model Retrieval using Cubic Spline Interpolation-Shape Distribution
- DOI
- 10.2991/ssemse-15.2015.323How to use a DOI?
- Keywords
- Shape Distribution; cubic spline interpolation; 3D model retrieval.
- Abstract
3D model retrieval has been becoming a significant research field of modern information retrieval. To target at obtaining a better retrieval results, a novel Cubic Spline Interpolation-Shape Distribution algorithm (CSI-SD) is proposed. On the basis of traditional Shape Distribution algorithm (SD), The CSI-SD we propose improves the retrieval effect in two aspects: firstly, complete the normalization by gaining the 3D model’s gravity center; secondly, use the cubic spline interpolation curve to characterize shape distribution histogram more accurately. We conduct experiments based on the large-scale comprehensive benchmark, which was compiled in SHREC2014. Experimental results show that our CSI-SD algorithm outperforms initial SD and the 3D Shape Histogram algorithm according to six general evaluation metrics.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jingwei Li AU - Qiang Cai AU - Haisheng Li PY - 2015/11 DA - 2015/11 TI - Efficient 3D Model Retrieval using Cubic Spline Interpolation-Shape Distribution BT - Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education PB - Atlantis Press SP - 1256 EP - 1259 SN - 2352-5398 UR - https://doi.org/10.2991/ssemse-15.2015.323 DO - 10.2991/ssemse-15.2015.323 ID - Li2015/11 ER -