Sciweavers

Share
PCM
2010
Springer

3D Similarity Search Using a Weighted Structural Histogram Representation

8 years 3 months ago
3D Similarity Search Using a Weighted Structural Histogram Representation
A fast and robust 3D retrieval method is proposed based on a novel weighted structural histogram representation. Our method has the following steps: 1) adaptively segment any 3D shape into a group of meaningful parts to generate local distribution matrixes, 2) integrate all the local distribution matrixes into a global distribution matrix, simultaneously considering their weight factors, and 3) retrieve 3D shapes by calculating the distance between their global distribution matrixes. Experimental results show that our method is effective and efficient for 3D shape retrieval and robust to translation, scaling or rotation transformations.
Tong Lu, Rongjun Gao, Tuantuan Wang, Yubin Yang
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where PCM
Authors Tong Lu, Rongjun Gao, Tuantuan Wang, Yubin Yang
Comments (0)
books