Name
Abstract | ||
|---|---|---|
In this paper, we propose a new framework which can capture the latent relative information within the multiple views of 3D model, named View-wised Discriminative Ranking(VDR). Different to existing view-based methods which treat the multiple views as the independent information, we want to model the relative information within multiple views. By placing the views of model in certain order, we learn the parameters of ranking function as a new robust model representation. We evaluate our proposal on several challenging datasets for 3D retrieval and the comparison experiments demonstrate the superiority of the proposed method in both retrieval accuracy and efficiency. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11042-017-5208-6 | Multimedia Tools Appl. |
Keywords | Field | DocType |
3D model retrieval, View ranking, Model representation | Divergence-from-randomness model,Pattern recognition,Information retrieval,Model representation,Ranking,Ranking SVM,Computer science,Ranking (information retrieval),Artificial intelligence,Discriminative model | Journal |
Volume | Issue | ISSN |
77 | 17 | 1380-7501 |
Citations | PageRank | References |
1 | 0.34 | 27 |
Authors | ||
2 | ||