Name
Abstract | ||
|---|---|---|
Existing landmark retrieval methods cannot provide a comprehensive solution, by which user can view different angles of landmark. In this paper, we propose a novel approach to reconstruct and retrieve 3D landmark models by direct 2D to 3D matching. In an offline module, firstly, attention-based 3D reconstruction method is proposed to reconstruct sparse 3D landmark models. Secondly, we construct textured 3D landmark model for each sparse 3D landmark model. Finally, a 3D landmark recognizer is built for each landmark based on the 3D landmark model. In online module, query images are recognized by the 3D landmark recognizers using a 2D to 3D matching approach. For each recognized query image, a 3D landmark model and a 3D landmark texture model are presented as a query result. Experimental results demonstrate the effectiveness of our proposed approach. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2072572.2072596 | J-HGBU@MM |
Keywords | Field | DocType |
novel approach,offline module,query image,existing landmark retrieval method,query result,landmark texture model,landmark recognition,landmark model,landmark recognizer,online module,matching,3d reconstruction | Computer vision,Texture model,Pattern recognition,2D to 3D conversion,Artificial intelligence,Landmark,Geography,3D reconstruction | Conference |
Citations | PageRank | References |
2 | 0.37 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xian Xiao | 1 | 108 | 7.50 |
| Changsheng Xu | 2 | 4957 | 332.87 |
| Jinqiao Wang | 3 | 804 | 89.03 |
| Min Xu | 4 | 398 | 36.60 |