Name
Title | ||
|---|---|---|
3D object retrieval with multitopic model combining relevance feedback and LDA model. |
Abstract | ||
|---|---|---|
View-based 3D model retrieval uses a set of views to represent each object. Discovering the complex relationship between multiple views remains challenging in 3D object retrieval. Recent progress in the latent Dirichlet allocation (LDA) model leads us to propose its use for 3D object retrieval. This LDA approach explores the hidden relationships between extracted primordial features of these views. Since LDA is limited to a fixed number of topics, we further propose a multitopic model to improve retrieval performance. We take advantage of a relevance feedback mechanism to balance the contributions of multiple topic models with specified numbers of topics. We demonstrate our improved retrieval performance over the state-of-the-art approaches. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIP.2014.2372618 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
multi-topic model,primordial feature extraction,latent dirichlet allocation model,lda model,view-based 3d model retrieval,feature extraction,image retrieval,relevance feedback,relevance feedback mechanism,3d object retrieval,multitopic model | Computer vision,Latent Dirichlet allocation,Relevance feedback,Information retrieval,Pattern recognition,Computer science,Artificial intelligence,Topic model | Journal |
Volume | Issue | ISSN |
24 | 1 | 1941-0042 |
Citations | PageRank | References |
23 | 0.64 | 49 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Biao Leng | 1 | 194 | 11.27 |
| Jiabei Zeng | 2 | 119 | 7.36 |
| Ming Yao | 3 | 48 | 1.39 |
| Zhang Xiong | 4 | 1069 | 102.45 |