Journal of System Simulation
Abstract
Abstract: Currently, retrieve 3d models use hand-drawn sketch as query has become an active research field. In the Bag of Feature (BoF) framework, the granularity of the distinction and expression brought by the "hard clustering" is insufficient. To solve this problem, a new method was proposed: GALIF feature was extracted from each sketch and the set of view images of models. BOF was replaced by a feature coding based on “soft clustering”--Gaussian mixture model. A fast and effective manifold ranking algorithm was used to calculate the manifold similarity between images, giving the final retrieve results. The previous methods only considered the data similarity, like directly calculated Euclidean distance between images. Different from those methods, the method tried to capture the semantic relevance by the underlying structure of the data set. The experiment result demonstrates that the new method is more accurate than the state-of-arts methods.
Recommended Citation
Mao, Dianhui; Yin, Huanpu; Li, Haisheng; and Qiang, Cai
(2020)
"3d Model Retrieval Based on Hand-drawn Sketches,"
Journal of System Simulation: Vol. 27:
Iss.
10, Article 55.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol27/iss10/55
First Page
2607
Revised Date
2015-07-24
DOI Link
https://doi.org/
Last Page
2614
CLC
TP391
Recommended Citation
Mao Dianhui, Yin Huanpu, Li Haisheng, Cai Qiang. 3d Model Retrieval Based on Hand-drawn Sketches[J]. Journal of System Simulation, 2015, 27(10): 2607-2614.
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